bobox commited on
Commit
faa2ea3
1 Parent(s): 4947c37

Training in progress, step 321, checkpoint

Browse files
checkpoint-321/1_Pooling/config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "word_embedding_dimension": 768,
3
+ "pooling_mode_cls_token": false,
4
+ "pooling_mode_mean_tokens": true,
5
+ "pooling_mode_max_tokens": false,
6
+ "pooling_mode_mean_sqrt_len_tokens": false,
7
+ "pooling_mode_weightedmean_tokens": false,
8
+ "pooling_mode_lasttoken": false,
9
+ "include_prompt": true
10
+ }
checkpoint-321/README.md ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-321/added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "[MASK]": 128000
3
+ }
checkpoint-321/config.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "microsoft/deberta-v3-small",
3
+ "architectures": [
4
+ "DebertaV2Model"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "hidden_act": "gelu",
8
+ "hidden_dropout_prob": 0.1,
9
+ "hidden_size": 768,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 3072,
12
+ "layer_norm_eps": 1e-07,
13
+ "max_position_embeddings": 512,
14
+ "max_relative_positions": -1,
15
+ "model_type": "deberta-v2",
16
+ "norm_rel_ebd": "layer_norm",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 6,
19
+ "pad_token_id": 0,
20
+ "pooler_dropout": 0,
21
+ "pooler_hidden_act": "gelu",
22
+ "pooler_hidden_size": 768,
23
+ "pos_att_type": [
24
+ "p2c",
25
+ "c2p"
26
+ ],
27
+ "position_biased_input": false,
28
+ "position_buckets": 256,
29
+ "relative_attention": true,
30
+ "share_att_key": true,
31
+ "torch_dtype": "float32",
32
+ "transformers_version": "4.42.3",
33
+ "type_vocab_size": 0,
34
+ "vocab_size": 128100
35
+ }
checkpoint-321/config_sentence_transformers.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "__version__": {
3
+ "sentence_transformers": "3.0.1",
4
+ "transformers": "4.42.3",
5
+ "pytorch": "2.1.2"
6
+ },
7
+ "prompts": {},
8
+ "default_prompt_name": null,
9
+ "similarity_fn_name": null
10
+ }
checkpoint-321/modules.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "idx": 0,
4
+ "name": "0",
5
+ "path": "",
6
+ "type": "sentence_transformers.models.Transformer"
7
+ },
8
+ {
9
+ "idx": 1,
10
+ "name": "1",
11
+ "path": "1_Pooling",
12
+ "type": "sentence_transformers.models.Pooling"
13
+ }
14
+ ]
checkpoint-321/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d3aa9921491405358bb24e497194a4ce68ce44490d81ffefd9b40620fb2eb212
3
+ size 1130520122
checkpoint-321/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b02c753a9983a3ba15ab09631fa32eddf314ac35a09d8d740eb4b78aec702dee
3
+ size 565251810
checkpoint-321/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c9ee4ccd8311f99eb705f558600271dcd514089e6251f010818e0278cc931f2
3
+ size 14244
checkpoint-321/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:074088b6be78b4ba4014e0c7d353a939a19f00f8494cb69e974d33e535fd8e46
3
+ size 1064
checkpoint-321/sentence_bert_config.json ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {
2
+ "max_seq_length": 512,
3
+ "do_lower_case": false
4
+ }
checkpoint-321/special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "[CLS]",
3
+ "cls_token": "[CLS]",
4
+ "eos_token": "[SEP]",
5
+ "mask_token": "[MASK]",
6
+ "pad_token": "[PAD]",
7
+ "sep_token": "[SEP]",
8
+ "unk_token": {
9
+ "content": "[UNK]",
10
+ "lstrip": false,
11
+ "normalized": true,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ }
15
+ }
checkpoint-321/spm.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
3
+ size 2464616
checkpoint-321/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-321/tokenizer_config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "[PAD]",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "[CLS]",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "[SEP]",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ },
27
+ "3": {
28
+ "content": "[UNK]",
29
+ "lstrip": false,
30
+ "normalized": true,
31
+ "rstrip": false,
32
+ "single_word": false,
33
+ "special": true
34
+ },
35
+ "128000": {
36
+ "content": "[MASK]",
37
+ "lstrip": false,
38
+ "normalized": false,
39
+ "rstrip": false,
40
+ "single_word": false,
41
+ "special": true
42
+ }
43
+ },
44
+ "bos_token": "[CLS]",
45
+ "clean_up_tokenization_spaces": true,
46
+ "cls_token": "[CLS]",
47
+ "do_lower_case": false,
48
+ "eos_token": "[SEP]",
49
+ "mask_token": "[MASK]",
50
+ "model_max_length": 1000000000000000019884624838656,
51
+ "pad_token": "[PAD]",
52
+ "sep_token": "[SEP]",
53
+ "sp_model_kwargs": {},
54
+ "split_by_punct": false,
55
+ "tokenizer_class": "DebertaV2Tokenizer",
56
+ "unk_token": "[UNK]",
57
+ "vocab_type": "spm"
58
+ }
checkpoint-321/trainer_state.json ADDED
@@ -0,0 +1,2399 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.8122794636556105,
5
+ "eval_steps": 27,
6
+ "global_step": 321,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.016937191249117856,
13
+ "grad_norm": 34.22002029418945,
14
+ "learning_rate": 6.818181818181818e-07,
15
+ "loss": 7.2372,
16
+ "step": 3
17
+ },
18
+ {
19
+ "epoch": 0.03387438249823571,
20
+ "grad_norm": 21.76839828491211,
21
+ "learning_rate": 1.3636363636363636e-06,
22
+ "loss": 6.855,
23
+ "step": 6
24
+ },
25
+ {
26
+ "epoch": 0.05081157374735357,
27
+ "grad_norm": 21.260774612426758,
28
+ "learning_rate": 2.0454545454545457e-06,
29
+ "loss": 7.4707,
30
+ "step": 9
31
+ },
32
+ {
33
+ "epoch": 0.06774876499647142,
34
+ "grad_norm": 16.885921478271484,
35
+ "learning_rate": 2.7272727272727272e-06,
36
+ "loss": 7.0187,
37
+ "step": 12
38
+ },
39
+ {
40
+ "epoch": 0.08468595624558928,
41
+ "grad_norm": 19.509899139404297,
42
+ "learning_rate": 3.409090909090909e-06,
43
+ "loss": 6.6756,
44
+ "step": 15
45
+ },
46
+ {
47
+ "epoch": 0.10162314749470713,
48
+ "grad_norm": 7.9427289962768555,
49
+ "learning_rate": 4.0909090909090915e-06,
50
+ "loss": 6.0155,
51
+ "step": 18
52
+ },
53
+ {
54
+ "epoch": 0.11856033874382499,
55
+ "grad_norm": 7.325345039367676,
56
+ "learning_rate": 4.772727272727273e-06,
57
+ "loss": 6.1644,
58
+ "step": 21
59
+ },
60
+ {
61
+ "epoch": 0.13549752999294284,
62
+ "grad_norm": 7.544689655303955,
63
+ "learning_rate": 5.4545454545454545e-06,
64
+ "loss": 6.2158,
65
+ "step": 24
66
+ },
67
+ {
68
+ "epoch": 0.1524347212420607,
69
+ "grad_norm": 5.141758918762207,
70
+ "learning_rate": 6.136363636363637e-06,
71
+ "loss": 6.1369,
72
+ "step": 27
73
+ },
74
+ {
75
+ "epoch": 0.1524347212420607,
76
+ "eval_NLI-v2_cosine_accuracy": 1.0,
77
+ "eval_NLI-v2_dot_accuracy": 0.109375,
78
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
79
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
80
+ "eval_NLI-v2_max_accuracy": 1.0,
81
+ "eval_VitaminC_cosine_accuracy": 0.5546875,
82
+ "eval_VitaminC_cosine_accuracy_threshold": 0.9544724822044373,
83
+ "eval_VitaminC_cosine_ap": 0.5356492030729136,
84
+ "eval_VitaminC_cosine_f1": 0.6542553191489362,
85
+ "eval_VitaminC_cosine_f1_threshold": 0.7148199081420898,
86
+ "eval_VitaminC_cosine_precision": 0.48616600790513836,
87
+ "eval_VitaminC_cosine_recall": 1.0,
88
+ "eval_VitaminC_dot_accuracy": 0.55078125,
89
+ "eval_VitaminC_dot_accuracy_threshold": 414.4264831542969,
90
+ "eval_VitaminC_dot_ap": 0.5108219546857565,
91
+ "eval_VitaminC_dot_f1": 0.6507936507936508,
92
+ "eval_VitaminC_dot_f1_threshold": 271.6522521972656,
93
+ "eval_VitaminC_dot_precision": 0.4823529411764706,
94
+ "eval_VitaminC_dot_recall": 1.0,
95
+ "eval_VitaminC_euclidean_accuracy": 0.55078125,
96
+ "eval_VitaminC_euclidean_accuracy_threshold": 6.519885063171387,
97
+ "eval_VitaminC_euclidean_ap": 0.5226419655984281,
98
+ "eval_VitaminC_euclidean_f1": 0.6505376344086021,
99
+ "eval_VitaminC_euclidean_f1_threshold": 15.194067001342773,
100
+ "eval_VitaminC_euclidean_precision": 0.4859437751004016,
101
+ "eval_VitaminC_euclidean_recall": 0.983739837398374,
102
+ "eval_VitaminC_manhattan_accuracy": 0.546875,
103
+ "eval_VitaminC_manhattan_accuracy_threshold": 149.20114135742188,
104
+ "eval_VitaminC_manhattan_ap": 0.5237451656134715,
105
+ "eval_VitaminC_manhattan_f1": 0.6542553191489362,
106
+ "eval_VitaminC_manhattan_f1_threshold": 259.007080078125,
107
+ "eval_VitaminC_manhattan_precision": 0.48616600790513836,
108
+ "eval_VitaminC_manhattan_recall": 1.0,
109
+ "eval_VitaminC_max_accuracy": 0.5546875,
110
+ "eval_VitaminC_max_accuracy_threshold": 414.4264831542969,
111
+ "eval_VitaminC_max_ap": 0.5356492030729136,
112
+ "eval_VitaminC_max_f1": 0.6542553191489362,
113
+ "eval_VitaminC_max_f1_threshold": 271.6522521972656,
114
+ "eval_VitaminC_max_precision": 0.48616600790513836,
115
+ "eval_VitaminC_max_recall": 1.0,
116
+ "eval_sequential_score": 0.5356492030729136,
117
+ "eval_sts-test_pearson_cosine": 0.056062031998983373,
118
+ "eval_sts-test_pearson_dot": 0.2979259445723872,
119
+ "eval_sts-test_pearson_euclidean": 0.0498319208592713,
120
+ "eval_sts-test_pearson_manhattan": 0.07381429239121526,
121
+ "eval_sts-test_pearson_max": 0.2979259445723872,
122
+ "eval_sts-test_spearman_cosine": 0.1066788491614481,
123
+ "eval_sts-test_spearman_dot": 0.315952670306405,
124
+ "eval_sts-test_spearman_euclidean": 0.07303394554435191,
125
+ "eval_sts-test_spearman_manhattan": 0.09039525717692232,
126
+ "eval_sts-test_spearman_max": 0.315952670306405,
127
+ "eval_vitaminc-pairs_loss": 2.698580741882324,
128
+ "eval_vitaminc-pairs_runtime": 1.4747,
129
+ "eval_vitaminc-pairs_samples_per_second": 73.236,
130
+ "eval_vitaminc-pairs_steps_per_second": 1.356,
131
+ "step": 27
132
+ },
133
+ {
134
+ "epoch": 0.1524347212420607,
135
+ "eval_negation-triplets_loss": 5.142906665802002,
136
+ "eval_negation-triplets_runtime": 0.2993,
137
+ "eval_negation-triplets_samples_per_second": 213.865,
138
+ "eval_negation-triplets_steps_per_second": 3.342,
139
+ "step": 27
140
+ },
141
+ {
142
+ "epoch": 0.1524347212420607,
143
+ "eval_scitail-pairs-pos_loss": 1.9216958284378052,
144
+ "eval_scitail-pairs-pos_runtime": 0.3834,
145
+ "eval_scitail-pairs-pos_samples_per_second": 140.842,
146
+ "eval_scitail-pairs-pos_steps_per_second": 2.608,
147
+ "step": 27
148
+ },
149
+ {
150
+ "epoch": 0.1524347212420607,
151
+ "eval_xsum-pairs_loss": 6.073049545288086,
152
+ "eval_xsum-pairs_runtime": 3.1587,
153
+ "eval_xsum-pairs_samples_per_second": 40.523,
154
+ "eval_xsum-pairs_steps_per_second": 0.633,
155
+ "step": 27
156
+ },
157
+ {
158
+ "epoch": 0.1524347212420607,
159
+ "eval_sciq_pairs_loss": 0.3449864387512207,
160
+ "eval_sciq_pairs_runtime": 3.3747,
161
+ "eval_sciq_pairs_samples_per_second": 37.93,
162
+ "eval_sciq_pairs_steps_per_second": 0.593,
163
+ "step": 27
164
+ },
165
+ {
166
+ "epoch": 0.1524347212420607,
167
+ "eval_qasc_pairs_loss": 3.2267842292785645,
168
+ "eval_qasc_pairs_runtime": 0.6576,
169
+ "eval_qasc_pairs_samples_per_second": 194.646,
170
+ "eval_qasc_pairs_steps_per_second": 3.041,
171
+ "step": 27
172
+ },
173
+ {
174
+ "epoch": 0.1524347212420607,
175
+ "eval_openbookqa_pairs_loss": 4.405983924865723,
176
+ "eval_openbookqa_pairs_runtime": 0.6107,
177
+ "eval_openbookqa_pairs_samples_per_second": 209.594,
178
+ "eval_openbookqa_pairs_steps_per_second": 3.275,
179
+ "step": 27
180
+ },
181
+ {
182
+ "epoch": 0.1524347212420607,
183
+ "eval_msmarco_pairs_loss": 6.937691688537598,
184
+ "eval_msmarco_pairs_runtime": 1.3091,
185
+ "eval_msmarco_pairs_samples_per_second": 97.779,
186
+ "eval_msmarco_pairs_steps_per_second": 1.528,
187
+ "step": 27
188
+ },
189
+ {
190
+ "epoch": 0.1524347212420607,
191
+ "eval_nq_pairs_loss": 6.794108867645264,
192
+ "eval_nq_pairs_runtime": 2.3968,
193
+ "eval_nq_pairs_samples_per_second": 53.404,
194
+ "eval_nq_pairs_steps_per_second": 0.834,
195
+ "step": 27
196
+ },
197
+ {
198
+ "epoch": 0.1524347212420607,
199
+ "eval_trivia_pairs_loss": 6.3355631828308105,
200
+ "eval_trivia_pairs_runtime": 4.4974,
201
+ "eval_trivia_pairs_samples_per_second": 28.461,
202
+ "eval_trivia_pairs_steps_per_second": 0.445,
203
+ "step": 27
204
+ },
205
+ {
206
+ "epoch": 0.1524347212420607,
207
+ "eval_gooaq_pairs_loss": 6.405998706817627,
208
+ "eval_gooaq_pairs_runtime": 0.8745,
209
+ "eval_gooaq_pairs_samples_per_second": 146.37,
210
+ "eval_gooaq_pairs_steps_per_second": 2.287,
211
+ "step": 27
212
+ },
213
+ {
214
+ "epoch": 0.1524347212420607,
215
+ "eval_paws-pos_loss": 2.2308223247528076,
216
+ "eval_paws-pos_runtime": 0.6998,
217
+ "eval_paws-pos_samples_per_second": 182.908,
218
+ "eval_paws-pos_steps_per_second": 2.858,
219
+ "step": 27
220
+ },
221
+ {
222
+ "epoch": 0.16937191249117856,
223
+ "grad_norm": 5.885251522064209,
224
+ "learning_rate": 6.818181818181818e-06,
225
+ "loss": 5.7653,
226
+ "step": 30
227
+ },
228
+ {
229
+ "epoch": 0.1863091037402964,
230
+ "grad_norm": 7.357480049133301,
231
+ "learning_rate": 7.500000000000001e-06,
232
+ "loss": 6.1259,
233
+ "step": 33
234
+ },
235
+ {
236
+ "epoch": 0.20324629498941427,
237
+ "grad_norm": 7.321795463562012,
238
+ "learning_rate": 8.181818181818183e-06,
239
+ "loss": 5.7539,
240
+ "step": 36
241
+ },
242
+ {
243
+ "epoch": 0.22018348623853212,
244
+ "grad_norm": 4.239792346954346,
245
+ "learning_rate": 8.863636363636365e-06,
246
+ "loss": 6.0131,
247
+ "step": 39
248
+ },
249
+ {
250
+ "epoch": 0.23712067748764998,
251
+ "grad_norm": 3.9554407596588135,
252
+ "learning_rate": 9.545454545454547e-06,
253
+ "loss": 6.0074,
254
+ "step": 42
255
+ },
256
+ {
257
+ "epoch": 0.25405786873676783,
258
+ "grad_norm": 4.406026840209961,
259
+ "learning_rate": 1.0227272727272729e-05,
260
+ "loss": 5.7125,
261
+ "step": 45
262
+ },
263
+ {
264
+ "epoch": 0.2709950599858857,
265
+ "grad_norm": 7.235893249511719,
266
+ "learning_rate": 1.0909090909090909e-05,
267
+ "loss": 5.5634,
268
+ "step": 48
269
+ },
270
+ {
271
+ "epoch": 0.28793225123500354,
272
+ "grad_norm": 5.330288410186768,
273
+ "learning_rate": 1.1590909090909093e-05,
274
+ "loss": 5.2924,
275
+ "step": 51
276
+ },
277
+ {
278
+ "epoch": 0.3048694424841214,
279
+ "grad_norm": 7.216403961181641,
280
+ "learning_rate": 1.2272727272727274e-05,
281
+ "loss": 5.2286,
282
+ "step": 54
283
+ },
284
+ {
285
+ "epoch": 0.3048694424841214,
286
+ "eval_NLI-v2_cosine_accuracy": 1.0,
287
+ "eval_NLI-v2_dot_accuracy": 0.046875,
288
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
289
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
290
+ "eval_NLI-v2_max_accuracy": 1.0,
291
+ "eval_VitaminC_cosine_accuracy": 0.54296875,
292
+ "eval_VitaminC_cosine_accuracy_threshold": 0.9328227043151855,
293
+ "eval_VitaminC_cosine_ap": 0.5212059026196154,
294
+ "eval_VitaminC_cosine_f1": 0.6576819407008085,
295
+ "eval_VitaminC_cosine_f1_threshold": 0.7373804450035095,
296
+ "eval_VitaminC_cosine_precision": 0.49193548387096775,
297
+ "eval_VitaminC_cosine_recall": 0.991869918699187,
298
+ "eval_VitaminC_dot_accuracy": 0.55078125,
299
+ "eval_VitaminC_dot_accuracy_threshold": 418.2774658203125,
300
+ "eval_VitaminC_dot_ap": 0.5160594099493883,
301
+ "eval_VitaminC_dot_f1": 0.6521739130434782,
302
+ "eval_VitaminC_dot_f1_threshold": 291.5081481933594,
303
+ "eval_VitaminC_dot_precision": 0.4897959183673469,
304
+ "eval_VitaminC_dot_recall": 0.975609756097561,
305
+ "eval_VitaminC_euclidean_accuracy": 0.5390625,
306
+ "eval_VitaminC_euclidean_accuracy_threshold": 8.120429039001465,
307
+ "eval_VitaminC_euclidean_ap": 0.5224837623095228,
308
+ "eval_VitaminC_euclidean_f1": 0.6576819407008085,
309
+ "eval_VitaminC_euclidean_f1_threshold": 14.879999160766602,
310
+ "eval_VitaminC_euclidean_precision": 0.49193548387096775,
311
+ "eval_VitaminC_euclidean_recall": 0.991869918699187,
312
+ "eval_VitaminC_manhattan_accuracy": 0.53515625,
313
+ "eval_VitaminC_manhattan_accuracy_threshold": 137.40658569335938,
314
+ "eval_VitaminC_manhattan_ap": 0.5186382518671783,
315
+ "eval_VitaminC_manhattan_f1": 0.6576086956521738,
316
+ "eval_VitaminC_manhattan_f1_threshold": 263.32452392578125,
317
+ "eval_VitaminC_manhattan_precision": 0.49387755102040815,
318
+ "eval_VitaminC_manhattan_recall": 0.983739837398374,
319
+ "eval_VitaminC_max_accuracy": 0.55078125,
320
+ "eval_VitaminC_max_accuracy_threshold": 418.2774658203125,
321
+ "eval_VitaminC_max_ap": 0.5224837623095228,
322
+ "eval_VitaminC_max_f1": 0.6576819407008085,
323
+ "eval_VitaminC_max_f1_threshold": 291.5081481933594,
324
+ "eval_VitaminC_max_precision": 0.49387755102040815,
325
+ "eval_VitaminC_max_recall": 0.991869918699187,
326
+ "eval_sequential_score": 0.5224837623095228,
327
+ "eval_sts-test_pearson_cosine": 0.14377091128453176,
328
+ "eval_sts-test_pearson_dot": 0.24728387094758872,
329
+ "eval_sts-test_pearson_euclidean": 0.14604155960515372,
330
+ "eval_sts-test_pearson_manhattan": 0.1446467532231986,
331
+ "eval_sts-test_pearson_max": 0.24728387094758872,
332
+ "eval_sts-test_spearman_cosine": 0.1968510434344728,
333
+ "eval_sts-test_spearman_dot": 0.29467218283745694,
334
+ "eval_sts-test_spearman_euclidean": 0.17218164683969664,
335
+ "eval_sts-test_spearman_manhattan": 0.17741843340856742,
336
+ "eval_sts-test_spearman_max": 0.29467218283745694,
337
+ "eval_vitaminc-pairs_loss": 2.664700746536255,
338
+ "eval_vitaminc-pairs_runtime": 1.4487,
339
+ "eval_vitaminc-pairs_samples_per_second": 74.551,
340
+ "eval_vitaminc-pairs_steps_per_second": 1.381,
341
+ "step": 54
342
+ },
343
+ {
344
+ "epoch": 0.3048694424841214,
345
+ "eval_negation-triplets_loss": 4.6218037605285645,
346
+ "eval_negation-triplets_runtime": 0.2971,
347
+ "eval_negation-triplets_samples_per_second": 215.438,
348
+ "eval_negation-triplets_steps_per_second": 3.366,
349
+ "step": 54
350
+ },
351
+ {
352
+ "epoch": 0.3048694424841214,
353
+ "eval_scitail-pairs-pos_loss": 1.2413936853408813,
354
+ "eval_scitail-pairs-pos_runtime": 0.372,
355
+ "eval_scitail-pairs-pos_samples_per_second": 145.175,
356
+ "eval_scitail-pairs-pos_steps_per_second": 2.688,
357
+ "step": 54
358
+ },
359
+ {
360
+ "epoch": 0.3048694424841214,
361
+ "eval_xsum-pairs_loss": 5.249766826629639,
362
+ "eval_xsum-pairs_runtime": 3.1506,
363
+ "eval_xsum-pairs_samples_per_second": 40.627,
364
+ "eval_xsum-pairs_steps_per_second": 0.635,
365
+ "step": 54
366
+ },
367
+ {
368
+ "epoch": 0.3048694424841214,
369
+ "eval_sciq_pairs_loss": 0.2961578667163849,
370
+ "eval_sciq_pairs_runtime": 3.2909,
371
+ "eval_sciq_pairs_samples_per_second": 38.895,
372
+ "eval_sciq_pairs_steps_per_second": 0.608,
373
+ "step": 54
374
+ },
375
+ {
376
+ "epoch": 0.3048694424841214,
377
+ "eval_qasc_pairs_loss": 2.530872344970703,
378
+ "eval_qasc_pairs_runtime": 0.6255,
379
+ "eval_qasc_pairs_samples_per_second": 204.63,
380
+ "eval_qasc_pairs_steps_per_second": 3.197,
381
+ "step": 54
382
+ },
383
+ {
384
+ "epoch": 0.3048694424841214,
385
+ "eval_openbookqa_pairs_loss": 3.8855104446411133,
386
+ "eval_openbookqa_pairs_runtime": 0.5742,
387
+ "eval_openbookqa_pairs_samples_per_second": 222.914,
388
+ "eval_openbookqa_pairs_steps_per_second": 3.483,
389
+ "step": 54
390
+ },
391
+ {
392
+ "epoch": 0.3048694424841214,
393
+ "eval_msmarco_pairs_loss": 5.246406555175781,
394
+ "eval_msmarco_pairs_runtime": 1.2872,
395
+ "eval_msmarco_pairs_samples_per_second": 99.442,
396
+ "eval_msmarco_pairs_steps_per_second": 1.554,
397
+ "step": 54
398
+ },
399
+ {
400
+ "epoch": 0.3048694424841214,
401
+ "eval_nq_pairs_loss": 5.332630157470703,
402
+ "eval_nq_pairs_runtime": 2.3739,
403
+ "eval_nq_pairs_samples_per_second": 53.92,
404
+ "eval_nq_pairs_steps_per_second": 0.843,
405
+ "step": 54
406
+ },
407
+ {
408
+ "epoch": 0.3048694424841214,
409
+ "eval_trivia_pairs_loss": 5.647429943084717,
410
+ "eval_trivia_pairs_runtime": 4.4729,
411
+ "eval_trivia_pairs_samples_per_second": 28.617,
412
+ "eval_trivia_pairs_steps_per_second": 0.447,
413
+ "step": 54
414
+ },
415
+ {
416
+ "epoch": 0.3048694424841214,
417
+ "eval_gooaq_pairs_loss": 5.225871562957764,
418
+ "eval_gooaq_pairs_runtime": 0.8715,
419
+ "eval_gooaq_pairs_samples_per_second": 146.868,
420
+ "eval_gooaq_pairs_steps_per_second": 2.295,
421
+ "step": 54
422
+ },
423
+ {
424
+ "epoch": 0.3048694424841214,
425
+ "eval_paws-pos_loss": 0.8335962891578674,
426
+ "eval_paws-pos_runtime": 0.6844,
427
+ "eval_paws-pos_samples_per_second": 187.036,
428
+ "eval_paws-pos_steps_per_second": 2.922,
429
+ "step": 54
430
+ },
431
+ {
432
+ "epoch": 0.32180663373323926,
433
+ "grad_norm": 6.847682952880859,
434
+ "learning_rate": 1.2954545454545455e-05,
435
+ "loss": 4.4811,
436
+ "step": 57
437
+ },
438
+ {
439
+ "epoch": 0.3387438249823571,
440
+ "grad_norm": 8.383002281188965,
441
+ "learning_rate": 1.3636363636363637e-05,
442
+ "loss": 4.4239,
443
+ "step": 60
444
+ },
445
+ {
446
+ "epoch": 0.35568101623147497,
447
+ "grad_norm": 7.014843463897705,
448
+ "learning_rate": 1.431818181818182e-05,
449
+ "loss": 4.0273,
450
+ "step": 63
451
+ },
452
+ {
453
+ "epoch": 0.3726182074805928,
454
+ "grad_norm": 5.9739885330200195,
455
+ "learning_rate": 1.5000000000000002e-05,
456
+ "loss": 3.4508,
457
+ "step": 66
458
+ },
459
+ {
460
+ "epoch": 0.3895553987297107,
461
+ "grad_norm": 11.202752113342285,
462
+ "learning_rate": 1.5681818181818182e-05,
463
+ "loss": 3.9702,
464
+ "step": 69
465
+ },
466
+ {
467
+ "epoch": 0.40649258997882853,
468
+ "grad_norm": 7.064818859100342,
469
+ "learning_rate": 1.6363636363636366e-05,
470
+ "loss": 3.5295,
471
+ "step": 72
472
+ },
473
+ {
474
+ "epoch": 0.4234297812279464,
475
+ "grad_norm": 5.912719249725342,
476
+ "learning_rate": 1.7045454545454546e-05,
477
+ "loss": 3.6395,
478
+ "step": 75
479
+ },
480
+ {
481
+ "epoch": 0.44036697247706424,
482
+ "grad_norm": 5.033207893371582,
483
+ "learning_rate": 1.772727272727273e-05,
484
+ "loss": 3.2398,
485
+ "step": 78
486
+ },
487
+ {
488
+ "epoch": 0.4573041637261821,
489
+ "grad_norm": 5.218384265899658,
490
+ "learning_rate": 1.840909090909091e-05,
491
+ "loss": 3.116,
492
+ "step": 81
493
+ },
494
+ {
495
+ "epoch": 0.4573041637261821,
496
+ "eval_NLI-v2_cosine_accuracy": 1.0,
497
+ "eval_NLI-v2_dot_accuracy": 0.0,
498
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
499
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
500
+ "eval_NLI-v2_max_accuracy": 1.0,
501
+ "eval_VitaminC_cosine_accuracy": 0.5546875,
502
+ "eval_VitaminC_cosine_accuracy_threshold": 0.9041332006454468,
503
+ "eval_VitaminC_cosine_ap": 0.5292859731465609,
504
+ "eval_VitaminC_cosine_f1": 0.6542553191489362,
505
+ "eval_VitaminC_cosine_f1_threshold": 0.452939510345459,
506
+ "eval_VitaminC_cosine_precision": 0.48616600790513836,
507
+ "eval_VitaminC_cosine_recall": 1.0,
508
+ "eval_VitaminC_dot_accuracy": 0.5546875,
509
+ "eval_VitaminC_dot_accuracy_threshold": 414.42559814453125,
510
+ "eval_VitaminC_dot_ap": 0.5222732504955002,
511
+ "eval_VitaminC_dot_f1": 0.6542553191489362,
512
+ "eval_VitaminC_dot_f1_threshold": 212.6934814453125,
513
+ "eval_VitaminC_dot_precision": 0.48616600790513836,
514
+ "eval_VitaminC_dot_recall": 1.0,
515
+ "eval_VitaminC_euclidean_accuracy": 0.5546875,
516
+ "eval_VitaminC_euclidean_accuracy_threshold": 9.18377685546875,
517
+ "eval_VitaminC_euclidean_ap": 0.5291787221346742,
518
+ "eval_VitaminC_euclidean_f1": 0.6542553191489362,
519
+ "eval_VitaminC_euclidean_f1_threshold": 22.683509826660156,
520
+ "eval_VitaminC_euclidean_precision": 0.48616600790513836,
521
+ "eval_VitaminC_euclidean_recall": 1.0,
522
+ "eval_VitaminC_manhattan_accuracy": 0.55859375,
523
+ "eval_VitaminC_manhattan_accuracy_threshold": 173.8212127685547,
524
+ "eval_VitaminC_manhattan_ap": 0.5305698453165033,
525
+ "eval_VitaminC_manhattan_f1": 0.6542553191489362,
526
+ "eval_VitaminC_manhattan_f1_threshold": 415.5366516113281,
527
+ "eval_VitaminC_manhattan_precision": 0.48616600790513836,
528
+ "eval_VitaminC_manhattan_recall": 1.0,
529
+ "eval_VitaminC_max_accuracy": 0.55859375,
530
+ "eval_VitaminC_max_accuracy_threshold": 414.42559814453125,
531
+ "eval_VitaminC_max_ap": 0.5305698453165033,
532
+ "eval_VitaminC_max_f1": 0.6542553191489362,
533
+ "eval_VitaminC_max_f1_threshold": 415.5366516113281,
534
+ "eval_VitaminC_max_precision": 0.48616600790513836,
535
+ "eval_VitaminC_max_recall": 1.0,
536
+ "eval_sequential_score": 0.5305698453165033,
537
+ "eval_sts-test_pearson_cosine": 0.45494716382349193,
538
+ "eval_sts-test_pearson_dot": 0.44837123659858896,
539
+ "eval_sts-test_pearson_euclidean": 0.4480861256491879,
540
+ "eval_sts-test_pearson_manhattan": 0.4417008219313264,
541
+ "eval_sts-test_pearson_max": 0.45494716382349193,
542
+ "eval_sts-test_spearman_cosine": 0.48921418507251446,
543
+ "eval_sts-test_spearman_dot": 0.46707725062744593,
544
+ "eval_sts-test_spearman_euclidean": 0.4610824798409968,
545
+ "eval_sts-test_spearman_manhattan": 0.46068648052845956,
546
+ "eval_sts-test_spearman_max": 0.48921418507251446,
547
+ "eval_vitaminc-pairs_loss": 2.5043575763702393,
548
+ "eval_vitaminc-pairs_runtime": 1.4778,
549
+ "eval_vitaminc-pairs_samples_per_second": 73.079,
550
+ "eval_vitaminc-pairs_steps_per_second": 1.353,
551
+ "step": 81
552
+ },
553
+ {
554
+ "epoch": 0.4573041637261821,
555
+ "eval_negation-triplets_loss": 3.4229447841644287,
556
+ "eval_negation-triplets_runtime": 0.2991,
557
+ "eval_negation-triplets_samples_per_second": 213.954,
558
+ "eval_negation-triplets_steps_per_second": 3.343,
559
+ "step": 81
560
+ },
561
+ {
562
+ "epoch": 0.4573041637261821,
563
+ "eval_scitail-pairs-pos_loss": 0.2784869372844696,
564
+ "eval_scitail-pairs-pos_runtime": 0.3633,
565
+ "eval_scitail-pairs-pos_samples_per_second": 148.649,
566
+ "eval_scitail-pairs-pos_steps_per_second": 2.753,
567
+ "step": 81
568
+ },
569
+ {
570
+ "epoch": 0.4573041637261821,
571
+ "eval_xsum-pairs_loss": 2.428964614868164,
572
+ "eval_xsum-pairs_runtime": 3.1548,
573
+ "eval_xsum-pairs_samples_per_second": 40.573,
574
+ "eval_xsum-pairs_steps_per_second": 0.634,
575
+ "step": 81
576
+ },
577
+ {
578
+ "epoch": 0.4573041637261821,
579
+ "eval_sciq_pairs_loss": 0.15256048738956451,
580
+ "eval_sciq_pairs_runtime": 3.2432,
581
+ "eval_sciq_pairs_samples_per_second": 39.467,
582
+ "eval_sciq_pairs_steps_per_second": 0.617,
583
+ "step": 81
584
+ },
585
+ {
586
+ "epoch": 0.4573041637261821,
587
+ "eval_qasc_pairs_loss": 1.2902077436447144,
588
+ "eval_qasc_pairs_runtime": 0.6211,
589
+ "eval_qasc_pairs_samples_per_second": 206.085,
590
+ "eval_qasc_pairs_steps_per_second": 3.22,
591
+ "step": 81
592
+ },
593
+ {
594
+ "epoch": 0.4573041637261821,
595
+ "eval_openbookqa_pairs_loss": 2.4784862995147705,
596
+ "eval_openbookqa_pairs_runtime": 0.5758,
597
+ "eval_openbookqa_pairs_samples_per_second": 222.308,
598
+ "eval_openbookqa_pairs_steps_per_second": 3.474,
599
+ "step": 81
600
+ },
601
+ {
602
+ "epoch": 0.4573041637261821,
603
+ "eval_msmarco_pairs_loss": 2.967724084854126,
604
+ "eval_msmarco_pairs_runtime": 1.2944,
605
+ "eval_msmarco_pairs_samples_per_second": 98.885,
606
+ "eval_msmarco_pairs_steps_per_second": 1.545,
607
+ "step": 81
608
+ },
609
+ {
610
+ "epoch": 0.4573041637261821,
611
+ "eval_nq_pairs_loss": 3.358661413192749,
612
+ "eval_nq_pairs_runtime": 2.3827,
613
+ "eval_nq_pairs_samples_per_second": 53.722,
614
+ "eval_nq_pairs_steps_per_second": 0.839,
615
+ "step": 81
616
+ },
617
+ {
618
+ "epoch": 0.4573041637261821,
619
+ "eval_trivia_pairs_loss": 3.1391680240631104,
620
+ "eval_trivia_pairs_runtime": 4.4155,
621
+ "eval_trivia_pairs_samples_per_second": 28.989,
622
+ "eval_trivia_pairs_steps_per_second": 0.453,
623
+ "step": 81
624
+ },
625
+ {
626
+ "epoch": 0.4573041637261821,
627
+ "eval_gooaq_pairs_loss": 2.8774912357330322,
628
+ "eval_gooaq_pairs_runtime": 0.8746,
629
+ "eval_gooaq_pairs_samples_per_second": 146.346,
630
+ "eval_gooaq_pairs_steps_per_second": 2.287,
631
+ "step": 81
632
+ },
633
+ {
634
+ "epoch": 0.4573041637261821,
635
+ "eval_paws-pos_loss": 0.19754411280155182,
636
+ "eval_paws-pos_runtime": 0.684,
637
+ "eval_paws-pos_samples_per_second": 187.141,
638
+ "eval_paws-pos_steps_per_second": 2.924,
639
+ "step": 81
640
+ },
641
+ {
642
+ "epoch": 0.47424135497529996,
643
+ "grad_norm": 5.149569988250732,
644
+ "learning_rate": 1.9090909090909094e-05,
645
+ "loss": 2.6049,
646
+ "step": 84
647
+ },
648
+ {
649
+ "epoch": 0.4911785462244178,
650
+ "grad_norm": 5.012928009033203,
651
+ "learning_rate": 1.9772727272727274e-05,
652
+ "loss": 2.7738,
653
+ "step": 87
654
+ },
655
+ {
656
+ "epoch": 0.5081157374735357,
657
+ "grad_norm": 4.880725383758545,
658
+ "learning_rate": 2.0454545454545457e-05,
659
+ "loss": 2.5416,
660
+ "step": 90
661
+ },
662
+ {
663
+ "epoch": 0.5250529287226535,
664
+ "grad_norm": 5.618528366088867,
665
+ "learning_rate": 2.113636363636364e-05,
666
+ "loss": 2.3913,
667
+ "step": 93
668
+ },
669
+ {
670
+ "epoch": 0.5419901199717714,
671
+ "grad_norm": 5.020515441894531,
672
+ "learning_rate": 2.1818181818181818e-05,
673
+ "loss": 2.3144,
674
+ "step": 96
675
+ },
676
+ {
677
+ "epoch": 0.5589273112208892,
678
+ "grad_norm": 4.818451404571533,
679
+ "learning_rate": 2.25e-05,
680
+ "loss": 2.1857,
681
+ "step": 99
682
+ },
683
+ {
684
+ "epoch": 0.5758645024700071,
685
+ "grad_norm": 5.094771385192871,
686
+ "learning_rate": 2.3181818181818185e-05,
687
+ "loss": 1.8881,
688
+ "step": 102
689
+ },
690
+ {
691
+ "epoch": 0.592801693719125,
692
+ "grad_norm": 3.795962333679199,
693
+ "learning_rate": 2.3863636363636365e-05,
694
+ "loss": 2.2699,
695
+ "step": 105
696
+ },
697
+ {
698
+ "epoch": 0.6097388849682428,
699
+ "grad_norm": 4.46245813369751,
700
+ "learning_rate": 2.454545454545455e-05,
701
+ "loss": 2.1425,
702
+ "step": 108
703
+ },
704
+ {
705
+ "epoch": 0.6097388849682428,
706
+ "eval_NLI-v2_cosine_accuracy": 1.0,
707
+ "eval_NLI-v2_dot_accuracy": 0.0,
708
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
709
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
710
+ "eval_NLI-v2_max_accuracy": 1.0,
711
+ "eval_VitaminC_cosine_accuracy": 0.5546875,
712
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8830112218856812,
713
+ "eval_VitaminC_cosine_ap": 0.5302172957740995,
714
+ "eval_VitaminC_cosine_f1": 0.6558265582655827,
715
+ "eval_VitaminC_cosine_f1_threshold": 0.5253933668136597,
716
+ "eval_VitaminC_cosine_precision": 0.491869918699187,
717
+ "eval_VitaminC_cosine_recall": 0.983739837398374,
718
+ "eval_VitaminC_dot_accuracy": 0.5390625,
719
+ "eval_VitaminC_dot_accuracy_threshold": 427.5576171875,
720
+ "eval_VitaminC_dot_ap": 0.517120157327104,
721
+ "eval_VitaminC_dot_f1": 0.6542553191489362,
722
+ "eval_VitaminC_dot_f1_threshold": 175.80963134765625,
723
+ "eval_VitaminC_dot_precision": 0.48616600790513836,
724
+ "eval_VitaminC_dot_recall": 1.0,
725
+ "eval_VitaminC_euclidean_accuracy": 0.5625,
726
+ "eval_VitaminC_euclidean_accuracy_threshold": 10.817148208618164,
727
+ "eval_VitaminC_euclidean_ap": 0.532255112376416,
728
+ "eval_VitaminC_euclidean_f1": 0.6558265582655827,
729
+ "eval_VitaminC_euclidean_f1_threshold": 21.10729217529297,
730
+ "eval_VitaminC_euclidean_precision": 0.491869918699187,
731
+ "eval_VitaminC_euclidean_recall": 0.983739837398374,
732
+ "eval_VitaminC_manhattan_accuracy": 0.5546875,
733
+ "eval_VitaminC_manhattan_accuracy_threshold": 224.70416259765625,
734
+ "eval_VitaminC_manhattan_ap": 0.5298930718604624,
735
+ "eval_VitaminC_manhattan_f1": 0.6558265582655827,
736
+ "eval_VitaminC_manhattan_f1_threshold": 415.3311767578125,
737
+ "eval_VitaminC_manhattan_precision": 0.491869918699187,
738
+ "eval_VitaminC_manhattan_recall": 0.983739837398374,
739
+ "eval_VitaminC_max_accuracy": 0.5625,
740
+ "eval_VitaminC_max_accuracy_threshold": 427.5576171875,
741
+ "eval_VitaminC_max_ap": 0.532255112376416,
742
+ "eval_VitaminC_max_f1": 0.6558265582655827,
743
+ "eval_VitaminC_max_f1_threshold": 415.3311767578125,
744
+ "eval_VitaminC_max_precision": 0.491869918699187,
745
+ "eval_VitaminC_max_recall": 1.0,
746
+ "eval_sequential_score": 0.532255112376416,
747
+ "eval_sts-test_pearson_cosine": 0.755963151531783,
748
+ "eval_sts-test_pearson_dot": 0.7384823091540473,
749
+ "eval_sts-test_pearson_euclidean": 0.764089555623164,
750
+ "eval_sts-test_pearson_manhattan": 0.7670467479701304,
751
+ "eval_sts-test_pearson_max": 0.7670467479701304,
752
+ "eval_sts-test_spearman_cosine": 0.7806331583677342,
753
+ "eval_sts-test_spearman_dot": 0.7442842883778696,
754
+ "eval_sts-test_spearman_euclidean": 0.7674205303105437,
755
+ "eval_sts-test_spearman_manhattan": 0.7664974867050092,
756
+ "eval_sts-test_spearman_max": 0.7806331583677342,
757
+ "eval_vitaminc-pairs_loss": 2.721674919128418,
758
+ "eval_vitaminc-pairs_runtime": 1.4468,
759
+ "eval_vitaminc-pairs_samples_per_second": 74.65,
760
+ "eval_vitaminc-pairs_steps_per_second": 1.382,
761
+ "step": 108
762
+ },
763
+ {
764
+ "epoch": 0.6097388849682428,
765
+ "eval_negation-triplets_loss": 2.338909387588501,
766
+ "eval_negation-triplets_runtime": 0.3017,
767
+ "eval_negation-triplets_samples_per_second": 212.101,
768
+ "eval_negation-triplets_steps_per_second": 3.314,
769
+ "step": 108
770
+ },
771
+ {
772
+ "epoch": 0.6097388849682428,
773
+ "eval_scitail-pairs-pos_loss": 0.23291125893592834,
774
+ "eval_scitail-pairs-pos_runtime": 0.3664,
775
+ "eval_scitail-pairs-pos_samples_per_second": 147.385,
776
+ "eval_scitail-pairs-pos_steps_per_second": 2.729,
777
+ "step": 108
778
+ },
779
+ {
780
+ "epoch": 0.6097388849682428,
781
+ "eval_xsum-pairs_loss": 1.2065516710281372,
782
+ "eval_xsum-pairs_runtime": 3.1488,
783
+ "eval_xsum-pairs_samples_per_second": 40.65,
784
+ "eval_xsum-pairs_steps_per_second": 0.635,
785
+ "step": 108
786
+ },
787
+ {
788
+ "epoch": 0.6097388849682428,
789
+ "eval_sciq_pairs_loss": 0.09487833082675934,
790
+ "eval_sciq_pairs_runtime": 3.2618,
791
+ "eval_sciq_pairs_samples_per_second": 39.242,
792
+ "eval_sciq_pairs_steps_per_second": 0.613,
793
+ "step": 108
794
+ },
795
+ {
796
+ "epoch": 0.6097388849682428,
797
+ "eval_qasc_pairs_loss": 0.8461999297142029,
798
+ "eval_qasc_pairs_runtime": 0.6246,
799
+ "eval_qasc_pairs_samples_per_second": 204.93,
800
+ "eval_qasc_pairs_steps_per_second": 3.202,
801
+ "step": 108
802
+ },
803
+ {
804
+ "epoch": 0.6097388849682428,
805
+ "eval_openbookqa_pairs_loss": 1.5739191770553589,
806
+ "eval_openbookqa_pairs_runtime": 0.5751,
807
+ "eval_openbookqa_pairs_samples_per_second": 222.568,
808
+ "eval_openbookqa_pairs_steps_per_second": 3.478,
809
+ "step": 108
810
+ },
811
+ {
812
+ "epoch": 0.6097388849682428,
813
+ "eval_msmarco_pairs_loss": 1.6446179151535034,
814
+ "eval_msmarco_pairs_runtime": 1.2828,
815
+ "eval_msmarco_pairs_samples_per_second": 99.784,
816
+ "eval_msmarco_pairs_steps_per_second": 1.559,
817
+ "step": 108
818
+ },
819
+ {
820
+ "epoch": 0.6097388849682428,
821
+ "eval_nq_pairs_loss": 2.364896535873413,
822
+ "eval_nq_pairs_runtime": 2.3802,
823
+ "eval_nq_pairs_samples_per_second": 53.777,
824
+ "eval_nq_pairs_steps_per_second": 0.84,
825
+ "step": 108
826
+ },
827
+ {
828
+ "epoch": 0.6097388849682428,
829
+ "eval_trivia_pairs_loss": 1.7080069780349731,
830
+ "eval_trivia_pairs_runtime": 4.4372,
831
+ "eval_trivia_pairs_samples_per_second": 28.847,
832
+ "eval_trivia_pairs_steps_per_second": 0.451,
833
+ "step": 108
834
+ },
835
+ {
836
+ "epoch": 0.6097388849682428,
837
+ "eval_gooaq_pairs_loss": 1.7924479246139526,
838
+ "eval_gooaq_pairs_runtime": 0.8761,
839
+ "eval_gooaq_pairs_samples_per_second": 146.094,
840
+ "eval_gooaq_pairs_steps_per_second": 2.283,
841
+ "step": 108
842
+ },
843
+ {
844
+ "epoch": 0.6097388849682428,
845
+ "eval_paws-pos_loss": 0.08000019192695618,
846
+ "eval_paws-pos_runtime": 0.6839,
847
+ "eval_paws-pos_samples_per_second": 187.168,
848
+ "eval_paws-pos_steps_per_second": 2.924,
849
+ "step": 108
850
+ },
851
+ {
852
+ "epoch": 0.6266760762173607,
853
+ "grad_norm": 4.418070316314697,
854
+ "learning_rate": 2.5227272727272732e-05,
855
+ "loss": 2.1276,
856
+ "step": 111
857
+ },
858
+ {
859
+ "epoch": 0.6436132674664785,
860
+ "grad_norm": 4.3495259284973145,
861
+ "learning_rate": 2.590909090909091e-05,
862
+ "loss": 1.7531,
863
+ "step": 114
864
+ },
865
+ {
866
+ "epoch": 0.6605504587155964,
867
+ "grad_norm": 4.294332027435303,
868
+ "learning_rate": 2.6590909090909093e-05,
869
+ "loss": 2.0179,
870
+ "step": 117
871
+ },
872
+ {
873
+ "epoch": 0.6774876499647142,
874
+ "grad_norm": 3.4215610027313232,
875
+ "learning_rate": 2.7272727272727273e-05,
876
+ "loss": 1.5305,
877
+ "step": 120
878
+ },
879
+ {
880
+ "epoch": 0.6944248412138321,
881
+ "grad_norm": 4.37844181060791,
882
+ "learning_rate": 2.7954545454545457e-05,
883
+ "loss": 1.6925,
884
+ "step": 123
885
+ },
886
+ {
887
+ "epoch": 0.7113620324629499,
888
+ "grad_norm": 4.019878387451172,
889
+ "learning_rate": 2.863636363636364e-05,
890
+ "loss": 1.5248,
891
+ "step": 126
892
+ },
893
+ {
894
+ "epoch": 0.7282992237120678,
895
+ "grad_norm": 4.662445068359375,
896
+ "learning_rate": 2.931818181818182e-05,
897
+ "loss": 1.523,
898
+ "step": 129
899
+ },
900
+ {
901
+ "epoch": 0.7452364149611856,
902
+ "grad_norm": 4.6323161125183105,
903
+ "learning_rate": 3.0000000000000004e-05,
904
+ "loss": 1.5474,
905
+ "step": 132
906
+ },
907
+ {
908
+ "epoch": 0.7621736062103035,
909
+ "grad_norm": 4.586575984954834,
910
+ "learning_rate": 3.068181818181819e-05,
911
+ "loss": 1.7221,
912
+ "step": 135
913
+ },
914
+ {
915
+ "epoch": 0.7621736062103035,
916
+ "eval_NLI-v2_cosine_accuracy": 1.0,
917
+ "eval_NLI-v2_dot_accuracy": 0.0,
918
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
919
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
920
+ "eval_NLI-v2_max_accuracy": 1.0,
921
+ "eval_VitaminC_cosine_accuracy": 0.56640625,
922
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8478574156761169,
923
+ "eval_VitaminC_cosine_ap": 0.5325579595957614,
924
+ "eval_VitaminC_cosine_f1": 0.6559999999999999,
925
+ "eval_VitaminC_cosine_f1_threshold": 0.35839784145355225,
926
+ "eval_VitaminC_cosine_precision": 0.4880952380952381,
927
+ "eval_VitaminC_cosine_recall": 1.0,
928
+ "eval_VitaminC_dot_accuracy": 0.5625,
929
+ "eval_VitaminC_dot_accuracy_threshold": 366.9839172363281,
930
+ "eval_VitaminC_dot_ap": 0.5326813797607027,
931
+ "eval_VitaminC_dot_f1": 0.6559999999999999,
932
+ "eval_VitaminC_dot_f1_threshold": 157.35829162597656,
933
+ "eval_VitaminC_dot_precision": 0.4880952380952381,
934
+ "eval_VitaminC_dot_recall": 1.0,
935
+ "eval_VitaminC_euclidean_accuracy": 0.5625,
936
+ "eval_VitaminC_euclidean_accuracy_threshold": 12.044445037841797,
937
+ "eval_VitaminC_euclidean_ap": 0.5304103559932005,
938
+ "eval_VitaminC_euclidean_f1": 0.6542553191489362,
939
+ "eval_VitaminC_euclidean_f1_threshold": 24.461441040039062,
940
+ "eval_VitaminC_euclidean_precision": 0.48616600790513836,
941
+ "eval_VitaminC_euclidean_recall": 1.0,
942
+ "eval_VitaminC_manhattan_accuracy": 0.5625,
943
+ "eval_VitaminC_manhattan_accuracy_threshold": 239.24815368652344,
944
+ "eval_VitaminC_manhattan_ap": 0.5314780667834758,
945
+ "eval_VitaminC_manhattan_f1": 0.6575342465753424,
946
+ "eval_VitaminC_manhattan_f1_threshold": 400.6834716796875,
947
+ "eval_VitaminC_manhattan_precision": 0.49586776859504134,
948
+ "eval_VitaminC_manhattan_recall": 0.975609756097561,
949
+ "eval_VitaminC_max_accuracy": 0.56640625,
950
+ "eval_VitaminC_max_accuracy_threshold": 366.9839172363281,
951
+ "eval_VitaminC_max_ap": 0.5326813797607027,
952
+ "eval_VitaminC_max_f1": 0.6575342465753424,
953
+ "eval_VitaminC_max_f1_threshold": 400.6834716796875,
954
+ "eval_VitaminC_max_precision": 0.49586776859504134,
955
+ "eval_VitaminC_max_recall": 1.0,
956
+ "eval_sequential_score": 0.5326813797607027,
957
+ "eval_sts-test_pearson_cosine": 0.7919597804368175,
958
+ "eval_sts-test_pearson_dot": 0.7994867531185785,
959
+ "eval_sts-test_pearson_euclidean": 0.8117960113303863,
960
+ "eval_sts-test_pearson_manhattan": 0.8144714466358016,
961
+ "eval_sts-test_pearson_max": 0.8144714466358016,
962
+ "eval_sts-test_spearman_cosine": 0.831478610786181,
963
+ "eval_sts-test_spearman_dot": 0.8192534746855707,
964
+ "eval_sts-test_spearman_euclidean": 0.8185577905406703,
965
+ "eval_sts-test_spearman_manhattan": 0.8154771593606782,
966
+ "eval_sts-test_spearman_max": 0.831478610786181,
967
+ "eval_vitaminc-pairs_loss": 2.852091073989868,
968
+ "eval_vitaminc-pairs_runtime": 1.4427,
969
+ "eval_vitaminc-pairs_samples_per_second": 74.858,
970
+ "eval_vitaminc-pairs_steps_per_second": 1.386,
971
+ "step": 135
972
+ },
973
+ {
974
+ "epoch": 0.7621736062103035,
975
+ "eval_negation-triplets_loss": 2.074247121810913,
976
+ "eval_negation-triplets_runtime": 0.3,
977
+ "eval_negation-triplets_samples_per_second": 213.353,
978
+ "eval_negation-triplets_steps_per_second": 3.334,
979
+ "step": 135
980
+ },
981
+ {
982
+ "epoch": 0.7621736062103035,
983
+ "eval_scitail-pairs-pos_loss": 0.2149849385023117,
984
+ "eval_scitail-pairs-pos_runtime": 0.3744,
985
+ "eval_scitail-pairs-pos_samples_per_second": 144.219,
986
+ "eval_scitail-pairs-pos_steps_per_second": 2.671,
987
+ "step": 135
988
+ },
989
+ {
990
+ "epoch": 0.7621736062103035,
991
+ "eval_xsum-pairs_loss": 0.7706837058067322,
992
+ "eval_xsum-pairs_runtime": 3.1609,
993
+ "eval_xsum-pairs_samples_per_second": 40.495,
994
+ "eval_xsum-pairs_steps_per_second": 0.633,
995
+ "step": 135
996
+ },
997
+ {
998
+ "epoch": 0.7621736062103035,
999
+ "eval_sciq_pairs_loss": 0.07513368874788284,
1000
+ "eval_sciq_pairs_runtime": 3.2949,
1001
+ "eval_sciq_pairs_samples_per_second": 38.848,
1002
+ "eval_sciq_pairs_steps_per_second": 0.607,
1003
+ "step": 135
1004
+ },
1005
+ {
1006
+ "epoch": 0.7621736062103035,
1007
+ "eval_qasc_pairs_loss": 0.6355602741241455,
1008
+ "eval_qasc_pairs_runtime": 0.6392,
1009
+ "eval_qasc_pairs_samples_per_second": 200.246,
1010
+ "eval_qasc_pairs_steps_per_second": 3.129,
1011
+ "step": 135
1012
+ },
1013
+ {
1014
+ "epoch": 0.7621736062103035,
1015
+ "eval_openbookqa_pairs_loss": 1.4014525413513184,
1016
+ "eval_openbookqa_pairs_runtime": 0.622,
1017
+ "eval_openbookqa_pairs_samples_per_second": 205.786,
1018
+ "eval_openbookqa_pairs_steps_per_second": 3.215,
1019
+ "step": 135
1020
+ },
1021
+ {
1022
+ "epoch": 0.7621736062103035,
1023
+ "eval_msmarco_pairs_loss": 1.1524099111557007,
1024
+ "eval_msmarco_pairs_runtime": 1.31,
1025
+ "eval_msmarco_pairs_samples_per_second": 97.709,
1026
+ "eval_msmarco_pairs_steps_per_second": 1.527,
1027
+ "step": 135
1028
+ },
1029
+ {
1030
+ "epoch": 0.7621736062103035,
1031
+ "eval_nq_pairs_loss": 1.7768574953079224,
1032
+ "eval_nq_pairs_runtime": 2.3979,
1033
+ "eval_nq_pairs_samples_per_second": 53.379,
1034
+ "eval_nq_pairs_steps_per_second": 0.834,
1035
+ "step": 135
1036
+ },
1037
+ {
1038
+ "epoch": 0.7621736062103035,
1039
+ "eval_trivia_pairs_loss": 1.4495295286178589,
1040
+ "eval_trivia_pairs_runtime": 4.4194,
1041
+ "eval_trivia_pairs_samples_per_second": 28.964,
1042
+ "eval_trivia_pairs_steps_per_second": 0.453,
1043
+ "step": 135
1044
+ },
1045
+ {
1046
+ "epoch": 0.7621736062103035,
1047
+ "eval_gooaq_pairs_loss": 1.3955378532409668,
1048
+ "eval_gooaq_pairs_runtime": 0.8788,
1049
+ "eval_gooaq_pairs_samples_per_second": 145.649,
1050
+ "eval_gooaq_pairs_steps_per_second": 2.276,
1051
+ "step": 135
1052
+ },
1053
+ {
1054
+ "epoch": 0.7621736062103035,
1055
+ "eval_paws-pos_loss": 0.06006813049316406,
1056
+ "eval_paws-pos_runtime": 0.6896,
1057
+ "eval_paws-pos_samples_per_second": 185.603,
1058
+ "eval_paws-pos_steps_per_second": 2.9,
1059
+ "step": 135
1060
+ },
1061
+ {
1062
+ "epoch": 0.7791107974594214,
1063
+ "grad_norm": 3.864208936691284,
1064
+ "learning_rate": 3.1363636363636365e-05,
1065
+ "loss": 1.5366,
1066
+ "step": 138
1067
+ },
1068
+ {
1069
+ "epoch": 0.7960479887085392,
1070
+ "grad_norm": 3.837550640106201,
1071
+ "learning_rate": 3.204545454545455e-05,
1072
+ "loss": 1.3045,
1073
+ "step": 141
1074
+ },
1075
+ {
1076
+ "epoch": 0.8129851799576571,
1077
+ "grad_norm": 3.5258102416992188,
1078
+ "learning_rate": 3.272727272727273e-05,
1079
+ "loss": 1.1999,
1080
+ "step": 144
1081
+ },
1082
+ {
1083
+ "epoch": 0.8299223712067749,
1084
+ "grad_norm": 3.4431183338165283,
1085
+ "learning_rate": 3.340909090909091e-05,
1086
+ "loss": 1.3483,
1087
+ "step": 147
1088
+ },
1089
+ {
1090
+ "epoch": 0.8468595624558928,
1091
+ "grad_norm": 3.6455864906311035,
1092
+ "learning_rate": 3.409090909090909e-05,
1093
+ "loss": 1.2009,
1094
+ "step": 150
1095
+ },
1096
+ {
1097
+ "epoch": 0.8637967537050106,
1098
+ "grad_norm": 4.508525371551514,
1099
+ "learning_rate": 3.4772727272727276e-05,
1100
+ "loss": 1.4495,
1101
+ "step": 153
1102
+ },
1103
+ {
1104
+ "epoch": 0.8807339449541285,
1105
+ "grad_norm": 3.0432400703430176,
1106
+ "learning_rate": 3.545454545454546e-05,
1107
+ "loss": 1.2329,
1108
+ "step": 156
1109
+ },
1110
+ {
1111
+ "epoch": 0.8976711362032463,
1112
+ "grad_norm": 3.0190365314483643,
1113
+ "learning_rate": 3.613636363636364e-05,
1114
+ "loss": 1.1905,
1115
+ "step": 159
1116
+ },
1117
+ {
1118
+ "epoch": 0.9146083274523642,
1119
+ "grad_norm": 3.74668288230896,
1120
+ "learning_rate": 3.681818181818182e-05,
1121
+ "loss": 1.277,
1122
+ "step": 162
1123
+ },
1124
+ {
1125
+ "epoch": 0.9146083274523642,
1126
+ "eval_NLI-v2_cosine_accuracy": 1.0,
1127
+ "eval_NLI-v2_dot_accuracy": 0.0,
1128
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
1129
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
1130
+ "eval_NLI-v2_max_accuracy": 1.0,
1131
+ "eval_VitaminC_cosine_accuracy": 0.57421875,
1132
+ "eval_VitaminC_cosine_accuracy_threshold": 0.8101799488067627,
1133
+ "eval_VitaminC_cosine_ap": 0.5298515171639175,
1134
+ "eval_VitaminC_cosine_f1": 0.6542553191489362,
1135
+ "eval_VitaminC_cosine_f1_threshold": 0.345889687538147,
1136
+ "eval_VitaminC_cosine_precision": 0.48616600790513836,
1137
+ "eval_VitaminC_cosine_recall": 1.0,
1138
+ "eval_VitaminC_dot_accuracy": 0.55078125,
1139
+ "eval_VitaminC_dot_accuracy_threshold": 373.5804443359375,
1140
+ "eval_VitaminC_dot_ap": 0.5310954683437364,
1141
+ "eval_VitaminC_dot_f1": 0.6542553191489362,
1142
+ "eval_VitaminC_dot_f1_threshold": 155.41326904296875,
1143
+ "eval_VitaminC_dot_precision": 0.48616600790513836,
1144
+ "eval_VitaminC_dot_recall": 1.0,
1145
+ "eval_VitaminC_euclidean_accuracy": 0.57421875,
1146
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.60124683380127,
1147
+ "eval_VitaminC_euclidean_ap": 0.5286057955992807,
1148
+ "eval_VitaminC_euclidean_f1": 0.6577540106951871,
1149
+ "eval_VitaminC_euclidean_f1_threshold": 22.904512405395508,
1150
+ "eval_VitaminC_euclidean_precision": 0.4900398406374502,
1151
+ "eval_VitaminC_euclidean_recall": 1.0,
1152
+ "eval_VitaminC_manhattan_accuracy": 0.57421875,
1153
+ "eval_VitaminC_manhattan_accuracy_threshold": 262.37322998046875,
1154
+ "eval_VitaminC_manhattan_ap": 0.5253560845853567,
1155
+ "eval_VitaminC_manhattan_f1": 0.6559999999999999,
1156
+ "eval_VitaminC_manhattan_f1_threshold": 465.94549560546875,
1157
+ "eval_VitaminC_manhattan_precision": 0.4880952380952381,
1158
+ "eval_VitaminC_manhattan_recall": 1.0,
1159
+ "eval_VitaminC_max_accuracy": 0.57421875,
1160
+ "eval_VitaminC_max_accuracy_threshold": 373.5804443359375,
1161
+ "eval_VitaminC_max_ap": 0.5310954683437364,
1162
+ "eval_VitaminC_max_f1": 0.6577540106951871,
1163
+ "eval_VitaminC_max_f1_threshold": 465.94549560546875,
1164
+ "eval_VitaminC_max_precision": 0.4900398406374502,
1165
+ "eval_VitaminC_max_recall": 1.0,
1166
+ "eval_sequential_score": 0.5310954683437364,
1167
+ "eval_sts-test_pearson_cosine": 0.8067612938723231,
1168
+ "eval_sts-test_pearson_dot": 0.8217874837658639,
1169
+ "eval_sts-test_pearson_euclidean": 0.827948115812785,
1170
+ "eval_sts-test_pearson_manhattan": 0.8261527694953693,
1171
+ "eval_sts-test_pearson_max": 0.827948115812785,
1172
+ "eval_sts-test_spearman_cosine": 0.8547777638284432,
1173
+ "eval_sts-test_spearman_dot": 0.8498786150097738,
1174
+ "eval_sts-test_spearman_euclidean": 0.8373845860667446,
1175
+ "eval_sts-test_spearman_manhattan": 0.8324507067477893,
1176
+ "eval_sts-test_spearman_max": 0.8547777638284432,
1177
+ "eval_vitaminc-pairs_loss": 2.776399612426758,
1178
+ "eval_vitaminc-pairs_runtime": 1.4503,
1179
+ "eval_vitaminc-pairs_samples_per_second": 74.467,
1180
+ "eval_vitaminc-pairs_steps_per_second": 1.379,
1181
+ "step": 162
1182
+ },
1183
+ {
1184
+ "epoch": 0.9146083274523642,
1185
+ "eval_negation-triplets_loss": 2.005451202392578,
1186
+ "eval_negation-triplets_runtime": 0.2981,
1187
+ "eval_negation-triplets_samples_per_second": 214.709,
1188
+ "eval_negation-triplets_steps_per_second": 3.355,
1189
+ "step": 162
1190
+ },
1191
+ {
1192
+ "epoch": 0.9146083274523642,
1193
+ "eval_scitail-pairs-pos_loss": 0.19877880811691284,
1194
+ "eval_scitail-pairs-pos_runtime": 0.3623,
1195
+ "eval_scitail-pairs-pos_samples_per_second": 149.043,
1196
+ "eval_scitail-pairs-pos_steps_per_second": 2.76,
1197
+ "step": 162
1198
+ },
1199
+ {
1200
+ "epoch": 0.9146083274523642,
1201
+ "eval_xsum-pairs_loss": 0.5586928725242615,
1202
+ "eval_xsum-pairs_runtime": 3.1466,
1203
+ "eval_xsum-pairs_samples_per_second": 40.679,
1204
+ "eval_xsum-pairs_steps_per_second": 0.636,
1205
+ "step": 162
1206
+ },
1207
+ {
1208
+ "epoch": 0.9146083274523642,
1209
+ "eval_sciq_pairs_loss": 0.06038254499435425,
1210
+ "eval_sciq_pairs_runtime": 3.4092,
1211
+ "eval_sciq_pairs_samples_per_second": 37.545,
1212
+ "eval_sciq_pairs_steps_per_second": 0.587,
1213
+ "step": 162
1214
+ },
1215
+ {
1216
+ "epoch": 0.9146083274523642,
1217
+ "eval_qasc_pairs_loss": 0.49434012174606323,
1218
+ "eval_qasc_pairs_runtime": 0.6342,
1219
+ "eval_qasc_pairs_samples_per_second": 201.832,
1220
+ "eval_qasc_pairs_steps_per_second": 3.154,
1221
+ "step": 162
1222
+ },
1223
+ {
1224
+ "epoch": 0.9146083274523642,
1225
+ "eval_openbookqa_pairs_loss": 1.1903400421142578,
1226
+ "eval_openbookqa_pairs_runtime": 0.5754,
1227
+ "eval_openbookqa_pairs_samples_per_second": 222.449,
1228
+ "eval_openbookqa_pairs_steps_per_second": 3.476,
1229
+ "step": 162
1230
+ },
1231
+ {
1232
+ "epoch": 0.9146083274523642,
1233
+ "eval_msmarco_pairs_loss": 0.8656420707702637,
1234
+ "eval_msmarco_pairs_runtime": 1.2858,
1235
+ "eval_msmarco_pairs_samples_per_second": 99.547,
1236
+ "eval_msmarco_pairs_steps_per_second": 1.555,
1237
+ "step": 162
1238
+ },
1239
+ {
1240
+ "epoch": 0.9146083274523642,
1241
+ "eval_nq_pairs_loss": 1.1553651094436646,
1242
+ "eval_nq_pairs_runtime": 2.3754,
1243
+ "eval_nq_pairs_samples_per_second": 53.885,
1244
+ "eval_nq_pairs_steps_per_second": 0.842,
1245
+ "step": 162
1246
+ },
1247
+ {
1248
+ "epoch": 0.9146083274523642,
1249
+ "eval_trivia_pairs_loss": 1.2928619384765625,
1250
+ "eval_trivia_pairs_runtime": 4.4084,
1251
+ "eval_trivia_pairs_samples_per_second": 29.035,
1252
+ "eval_trivia_pairs_steps_per_second": 0.454,
1253
+ "step": 162
1254
+ },
1255
+ {
1256
+ "epoch": 0.9146083274523642,
1257
+ "eval_gooaq_pairs_loss": 1.1580811738967896,
1258
+ "eval_gooaq_pairs_runtime": 0.8731,
1259
+ "eval_gooaq_pairs_samples_per_second": 146.607,
1260
+ "eval_gooaq_pairs_steps_per_second": 2.291,
1261
+ "step": 162
1262
+ },
1263
+ {
1264
+ "epoch": 0.9146083274523642,
1265
+ "eval_paws-pos_loss": 0.052534349262714386,
1266
+ "eval_paws-pos_runtime": 0.6835,
1267
+ "eval_paws-pos_samples_per_second": 187.258,
1268
+ "eval_paws-pos_steps_per_second": 2.926,
1269
+ "step": 162
1270
+ },
1271
+ {
1272
+ "epoch": 0.9315455187014821,
1273
+ "grad_norm": 4.7817864418029785,
1274
+ "learning_rate": 3.7500000000000003e-05,
1275
+ "loss": 1.339,
1276
+ "step": 165
1277
+ },
1278
+ {
1279
+ "epoch": 0.9484827099505999,
1280
+ "grad_norm": 4.000570774078369,
1281
+ "learning_rate": 3.818181818181819e-05,
1282
+ "loss": 1.1535,
1283
+ "step": 168
1284
+ },
1285
+ {
1286
+ "epoch": 0.9654199011997178,
1287
+ "grad_norm": 3.5971670150756836,
1288
+ "learning_rate": 3.8863636363636364e-05,
1289
+ "loss": 1.1643,
1290
+ "step": 171
1291
+ },
1292
+ {
1293
+ "epoch": 0.9823570924488356,
1294
+ "grad_norm": 3.6582131385803223,
1295
+ "learning_rate": 3.954545454545455e-05,
1296
+ "loss": 1.2221,
1297
+ "step": 174
1298
+ },
1299
+ {
1300
+ "epoch": 0.9992942836979535,
1301
+ "grad_norm": 4.0953898429870605,
1302
+ "learning_rate": 3.9999477905707075e-05,
1303
+ "loss": 1.0974,
1304
+ "step": 177
1305
+ },
1306
+ {
1307
+ "epoch": 1.0162314749470713,
1308
+ "grad_norm": 4.092026233673096,
1309
+ "learning_rate": 3.999164730903481e-05,
1310
+ "loss": 1.0984,
1311
+ "step": 180
1312
+ },
1313
+ {
1314
+ "epoch": 1.0331686661961892,
1315
+ "grad_norm": 3.6480906009674072,
1316
+ "learning_rate": 3.997442539262898e-05,
1317
+ "loss": 1.0543,
1318
+ "step": 183
1319
+ },
1320
+ {
1321
+ "epoch": 1.050105857445307,
1322
+ "grad_norm": 3.433056592941284,
1323
+ "learning_rate": 3.99478242943326e-05,
1324
+ "loss": 1.0994,
1325
+ "step": 186
1326
+ },
1327
+ {
1328
+ "epoch": 1.067043048694425,
1329
+ "grad_norm": 3.507981777191162,
1330
+ "learning_rate": 3.991186276234698e-05,
1331
+ "loss": 1.0621,
1332
+ "step": 189
1333
+ },
1334
+ {
1335
+ "epoch": 1.067043048694425,
1336
+ "eval_NLI-v2_cosine_accuracy": 1.0,
1337
+ "eval_NLI-v2_dot_accuracy": 0.0,
1338
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
1339
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
1340
+ "eval_NLI-v2_max_accuracy": 1.0,
1341
+ "eval_VitaminC_cosine_accuracy": 0.578125,
1342
+ "eval_VitaminC_cosine_accuracy_threshold": 0.7840081453323364,
1343
+ "eval_VitaminC_cosine_ap": 0.5400770399437144,
1344
+ "eval_VitaminC_cosine_f1": 0.6577540106951871,
1345
+ "eval_VitaminC_cosine_f1_threshold": 0.39448243379592896,
1346
+ "eval_VitaminC_cosine_precision": 0.4900398406374502,
1347
+ "eval_VitaminC_cosine_recall": 1.0,
1348
+ "eval_VitaminC_dot_accuracy": 0.5625,
1349
+ "eval_VitaminC_dot_accuracy_threshold": 323.20281982421875,
1350
+ "eval_VitaminC_dot_ap": 0.5420016101916201,
1351
+ "eval_VitaminC_dot_f1": 0.6575342465753424,
1352
+ "eval_VitaminC_dot_f1_threshold": 198.04354858398438,
1353
+ "eval_VitaminC_dot_precision": 0.49586776859504134,
1354
+ "eval_VitaminC_dot_recall": 0.975609756097561,
1355
+ "eval_VitaminC_euclidean_accuracy": 0.5859375,
1356
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.84214973449707,
1357
+ "eval_VitaminC_euclidean_ap": 0.5392157650683609,
1358
+ "eval_VitaminC_euclidean_f1": 0.6577540106951871,
1359
+ "eval_VitaminC_euclidean_f1_threshold": 22.595678329467773,
1360
+ "eval_VitaminC_euclidean_precision": 0.4900398406374502,
1361
+ "eval_VitaminC_euclidean_recall": 1.0,
1362
+ "eval_VitaminC_manhattan_accuracy": 0.5703125,
1363
+ "eval_VitaminC_manhattan_accuracy_threshold": 275.1253356933594,
1364
+ "eval_VitaminC_manhattan_ap": 0.5341380380767263,
1365
+ "eval_VitaminC_manhattan_f1": 0.6576819407008085,
1366
+ "eval_VitaminC_manhattan_f1_threshold": 457.04986572265625,
1367
+ "eval_VitaminC_manhattan_precision": 0.49193548387096775,
1368
+ "eval_VitaminC_manhattan_recall": 0.991869918699187,
1369
+ "eval_VitaminC_max_accuracy": 0.5859375,
1370
+ "eval_VitaminC_max_accuracy_threshold": 323.20281982421875,
1371
+ "eval_VitaminC_max_ap": 0.5420016101916201,
1372
+ "eval_VitaminC_max_f1": 0.6577540106951871,
1373
+ "eval_VitaminC_max_f1_threshold": 457.04986572265625,
1374
+ "eval_VitaminC_max_precision": 0.49586776859504134,
1375
+ "eval_VitaminC_max_recall": 1.0,
1376
+ "eval_sequential_score": 0.5420016101916201,
1377
+ "eval_sts-test_pearson_cosine": 0.8193410747427454,
1378
+ "eval_sts-test_pearson_dot": 0.8275444476338831,
1379
+ "eval_sts-test_pearson_euclidean": 0.8464528142983967,
1380
+ "eval_sts-test_pearson_manhattan": 0.8440476980962159,
1381
+ "eval_sts-test_pearson_max": 0.8464528142983967,
1382
+ "eval_sts-test_spearman_cosine": 0.8680272706642878,
1383
+ "eval_sts-test_spearman_dot": 0.8555529342729671,
1384
+ "eval_sts-test_spearman_euclidean": 0.8542457068859202,
1385
+ "eval_sts-test_spearman_manhattan": 0.8510265117511795,
1386
+ "eval_sts-test_spearman_max": 0.8680272706642878,
1387
+ "eval_vitaminc-pairs_loss": 2.6755428314208984,
1388
+ "eval_vitaminc-pairs_runtime": 1.4509,
1389
+ "eval_vitaminc-pairs_samples_per_second": 74.437,
1390
+ "eval_vitaminc-pairs_steps_per_second": 1.378,
1391
+ "step": 189
1392
+ },
1393
+ {
1394
+ "epoch": 1.067043048694425,
1395
+ "eval_negation-triplets_loss": 1.9071491956710815,
1396
+ "eval_negation-triplets_runtime": 0.3051,
1397
+ "eval_negation-triplets_samples_per_second": 209.756,
1398
+ "eval_negation-triplets_steps_per_second": 3.277,
1399
+ "step": 189
1400
+ },
1401
+ {
1402
+ "epoch": 1.067043048694425,
1403
+ "eval_scitail-pairs-pos_loss": 0.18539850413799286,
1404
+ "eval_scitail-pairs-pos_runtime": 0.4199,
1405
+ "eval_scitail-pairs-pos_samples_per_second": 128.604,
1406
+ "eval_scitail-pairs-pos_steps_per_second": 2.382,
1407
+ "step": 189
1408
+ },
1409
+ {
1410
+ "epoch": 1.067043048694425,
1411
+ "eval_xsum-pairs_loss": 0.38365328311920166,
1412
+ "eval_xsum-pairs_runtime": 3.1907,
1413
+ "eval_xsum-pairs_samples_per_second": 40.116,
1414
+ "eval_xsum-pairs_steps_per_second": 0.627,
1415
+ "step": 189
1416
+ },
1417
+ {
1418
+ "epoch": 1.067043048694425,
1419
+ "eval_sciq_pairs_loss": 0.05558515340089798,
1420
+ "eval_sciq_pairs_runtime": 3.2891,
1421
+ "eval_sciq_pairs_samples_per_second": 38.917,
1422
+ "eval_sciq_pairs_steps_per_second": 0.608,
1423
+ "step": 189
1424
+ },
1425
+ {
1426
+ "epoch": 1.067043048694425,
1427
+ "eval_qasc_pairs_loss": 0.40469691157341003,
1428
+ "eval_qasc_pairs_runtime": 0.6267,
1429
+ "eval_qasc_pairs_samples_per_second": 204.245,
1430
+ "eval_qasc_pairs_steps_per_second": 3.191,
1431
+ "step": 189
1432
+ },
1433
+ {
1434
+ "epoch": 1.067043048694425,
1435
+ "eval_openbookqa_pairs_loss": 1.0837312936782837,
1436
+ "eval_openbookqa_pairs_runtime": 0.5765,
1437
+ "eval_openbookqa_pairs_samples_per_second": 222.02,
1438
+ "eval_openbookqa_pairs_steps_per_second": 3.469,
1439
+ "step": 189
1440
+ },
1441
+ {
1442
+ "epoch": 1.067043048694425,
1443
+ "eval_msmarco_pairs_loss": 0.6897398233413696,
1444
+ "eval_msmarco_pairs_runtime": 1.2918,
1445
+ "eval_msmarco_pairs_samples_per_second": 99.089,
1446
+ "eval_msmarco_pairs_steps_per_second": 1.548,
1447
+ "step": 189
1448
+ },
1449
+ {
1450
+ "epoch": 1.067043048694425,
1451
+ "eval_nq_pairs_loss": 0.9603796601295471,
1452
+ "eval_nq_pairs_runtime": 2.3975,
1453
+ "eval_nq_pairs_samples_per_second": 53.39,
1454
+ "eval_nq_pairs_steps_per_second": 0.834,
1455
+ "step": 189
1456
+ },
1457
+ {
1458
+ "epoch": 1.067043048694425,
1459
+ "eval_trivia_pairs_loss": 1.200446605682373,
1460
+ "eval_trivia_pairs_runtime": 4.4582,
1461
+ "eval_trivia_pairs_samples_per_second": 28.711,
1462
+ "eval_trivia_pairs_steps_per_second": 0.449,
1463
+ "step": 189
1464
+ },
1465
+ {
1466
+ "epoch": 1.067043048694425,
1467
+ "eval_gooaq_pairs_loss": 1.0353316068649292,
1468
+ "eval_gooaq_pairs_runtime": 0.8765,
1469
+ "eval_gooaq_pairs_samples_per_second": 146.042,
1470
+ "eval_gooaq_pairs_steps_per_second": 2.282,
1471
+ "step": 189
1472
+ },
1473
+ {
1474
+ "epoch": 1.067043048694425,
1475
+ "eval_paws-pos_loss": 0.042069558054208755,
1476
+ "eval_paws-pos_runtime": 0.6909,
1477
+ "eval_paws-pos_samples_per_second": 185.263,
1478
+ "eval_paws-pos_steps_per_second": 2.895,
1479
+ "step": 189
1480
+ },
1481
+ {
1482
+ "epoch": 1.0839802399435428,
1483
+ "grad_norm": 2.979419469833374,
1484
+ "learning_rate": 3.986656614201813e-05,
1485
+ "loss": 0.8724,
1486
+ "step": 192
1487
+ },
1488
+ {
1489
+ "epoch": 1.1009174311926606,
1490
+ "grad_norm": 2.835219144821167,
1491
+ "learning_rate": 3.981196635797361e-05,
1492
+ "loss": 0.9381,
1493
+ "step": 195
1494
+ },
1495
+ {
1496
+ "epoch": 1.1178546224417785,
1497
+ "grad_norm": 3.6650869846343994,
1498
+ "learning_rate": 3.974810189162238e-05,
1499
+ "loss": 0.9617,
1500
+ "step": 198
1501
+ },
1502
+ {
1503
+ "epoch": 1.1347918136908963,
1504
+ "grad_norm": 4.188896656036377,
1505
+ "learning_rate": 3.967501775403343e-05,
1506
+ "loss": 1.0139,
1507
+ "step": 201
1508
+ },
1509
+ {
1510
+ "epoch": 1.1517290049400142,
1511
+ "grad_norm": 3.1624915599823,
1512
+ "learning_rate": 3.959276545421244e-05,
1513
+ "loss": 1.1073,
1514
+ "step": 204
1515
+ },
1516
+ {
1517
+ "epoch": 1.168666196189132,
1518
+ "grad_norm": 3.245002508163452,
1519
+ "learning_rate": 3.950140296279871e-05,
1520
+ "loss": 0.8365,
1521
+ "step": 207
1522
+ },
1523
+ {
1524
+ "epoch": 1.18560338743825,
1525
+ "grad_norm": 4.376185894012451,
1526
+ "learning_rate": 3.9400994671208e-05,
1527
+ "loss": 1.1012,
1528
+ "step": 210
1529
+ },
1530
+ {
1531
+ "epoch": 1.2025405786873677,
1532
+ "grad_norm": 3.236583948135376,
1533
+ "learning_rate": 3.9291611346250066e-05,
1534
+ "loss": 1.0016,
1535
+ "step": 213
1536
+ },
1537
+ {
1538
+ "epoch": 1.2194777699364856,
1539
+ "grad_norm": 3.7601733207702637,
1540
+ "learning_rate": 3.9173330080252904e-05,
1541
+ "loss": 1.0957,
1542
+ "step": 216
1543
+ },
1544
+ {
1545
+ "epoch": 1.2194777699364856,
1546
+ "eval_NLI-v2_cosine_accuracy": 1.0,
1547
+ "eval_NLI-v2_dot_accuracy": 0.0,
1548
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
1549
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
1550
+ "eval_NLI-v2_max_accuracy": 1.0,
1551
+ "eval_VitaminC_cosine_accuracy": 0.57421875,
1552
+ "eval_VitaminC_cosine_accuracy_threshold": 0.7863086462020874,
1553
+ "eval_VitaminC_cosine_ap": 0.538511783260847,
1554
+ "eval_VitaminC_cosine_f1": 0.6577540106951871,
1555
+ "eval_VitaminC_cosine_f1_threshold": 0.4006580412387848,
1556
+ "eval_VitaminC_cosine_precision": 0.4900398406374502,
1557
+ "eval_VitaminC_cosine_recall": 1.0,
1558
+ "eval_VitaminC_dot_accuracy": 0.57421875,
1559
+ "eval_VitaminC_dot_accuracy_threshold": 323.53277587890625,
1560
+ "eval_VitaminC_dot_ap": 0.5304994537787167,
1561
+ "eval_VitaminC_dot_f1": 0.6577540106951871,
1562
+ "eval_VitaminC_dot_f1_threshold": 166.45921325683594,
1563
+ "eval_VitaminC_dot_precision": 0.4900398406374502,
1564
+ "eval_VitaminC_dot_recall": 1.0,
1565
+ "eval_VitaminC_euclidean_accuracy": 0.578125,
1566
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.631423950195312,
1567
+ "eval_VitaminC_euclidean_ap": 0.5363284984763951,
1568
+ "eval_VitaminC_euclidean_f1": 0.6542553191489362,
1569
+ "eval_VitaminC_euclidean_f1_threshold": 25.392715454101562,
1570
+ "eval_VitaminC_euclidean_precision": 0.48616600790513836,
1571
+ "eval_VitaminC_euclidean_recall": 1.0,
1572
+ "eval_VitaminC_manhattan_accuracy": 0.57421875,
1573
+ "eval_VitaminC_manhattan_accuracy_threshold": 283.5897216796875,
1574
+ "eval_VitaminC_manhattan_ap": 0.5327191155331534,
1575
+ "eval_VitaminC_manhattan_f1": 0.6559999999999999,
1576
+ "eval_VitaminC_manhattan_f1_threshold": 491.0370178222656,
1577
+ "eval_VitaminC_manhattan_precision": 0.4880952380952381,
1578
+ "eval_VitaminC_manhattan_recall": 1.0,
1579
+ "eval_VitaminC_max_accuracy": 0.578125,
1580
+ "eval_VitaminC_max_accuracy_threshold": 323.53277587890625,
1581
+ "eval_VitaminC_max_ap": 0.538511783260847,
1582
+ "eval_VitaminC_max_f1": 0.6577540106951871,
1583
+ "eval_VitaminC_max_f1_threshold": 491.0370178222656,
1584
+ "eval_VitaminC_max_precision": 0.4900398406374502,
1585
+ "eval_VitaminC_max_recall": 1.0,
1586
+ "eval_sequential_score": 0.538511783260847,
1587
+ "eval_sts-test_pearson_cosine": 0.8156684919084325,
1588
+ "eval_sts-test_pearson_dot": 0.8230786053133633,
1589
+ "eval_sts-test_pearson_euclidean": 0.845348828865422,
1590
+ "eval_sts-test_pearson_manhattan": 0.8432655375716184,
1591
+ "eval_sts-test_pearson_max": 0.845348828865422,
1592
+ "eval_sts-test_spearman_cosine": 0.8655524539841267,
1593
+ "eval_sts-test_spearman_dot": 0.8507196659909223,
1594
+ "eval_sts-test_spearman_euclidean": 0.8547050804103192,
1595
+ "eval_sts-test_spearman_manhattan": 0.8508668230591436,
1596
+ "eval_sts-test_spearman_max": 0.8655524539841267,
1597
+ "eval_vitaminc-pairs_loss": 2.5465524196624756,
1598
+ "eval_vitaminc-pairs_runtime": 1.4425,
1599
+ "eval_vitaminc-pairs_samples_per_second": 74.869,
1600
+ "eval_vitaminc-pairs_steps_per_second": 1.386,
1601
+ "step": 216
1602
+ },
1603
+ {
1604
+ "epoch": 1.2194777699364856,
1605
+ "eval_negation-triplets_loss": 1.9161474704742432,
1606
+ "eval_negation-triplets_runtime": 0.2994,
1607
+ "eval_negation-triplets_samples_per_second": 213.785,
1608
+ "eval_negation-triplets_steps_per_second": 3.34,
1609
+ "step": 216
1610
+ },
1611
+ {
1612
+ "epoch": 1.2194777699364856,
1613
+ "eval_scitail-pairs-pos_loss": 0.19009728729724884,
1614
+ "eval_scitail-pairs-pos_runtime": 0.3745,
1615
+ "eval_scitail-pairs-pos_samples_per_second": 144.203,
1616
+ "eval_scitail-pairs-pos_steps_per_second": 2.67,
1617
+ "step": 216
1618
+ },
1619
+ {
1620
+ "epoch": 1.2194777699364856,
1621
+ "eval_xsum-pairs_loss": 0.35912859439849854,
1622
+ "eval_xsum-pairs_runtime": 3.1543,
1623
+ "eval_xsum-pairs_samples_per_second": 40.58,
1624
+ "eval_xsum-pairs_steps_per_second": 0.634,
1625
+ "step": 216
1626
+ },
1627
+ {
1628
+ "epoch": 1.2194777699364856,
1629
+ "eval_sciq_pairs_loss": 0.05168920382857323,
1630
+ "eval_sciq_pairs_runtime": 3.2561,
1631
+ "eval_sciq_pairs_samples_per_second": 39.31,
1632
+ "eval_sciq_pairs_steps_per_second": 0.614,
1633
+ "step": 216
1634
+ },
1635
+ {
1636
+ "epoch": 1.2194777699364856,
1637
+ "eval_qasc_pairs_loss": 0.30753791332244873,
1638
+ "eval_qasc_pairs_runtime": 0.6201,
1639
+ "eval_qasc_pairs_samples_per_second": 206.418,
1640
+ "eval_qasc_pairs_steps_per_second": 3.225,
1641
+ "step": 216
1642
+ },
1643
+ {
1644
+ "epoch": 1.2194777699364856,
1645
+ "eval_openbookqa_pairs_loss": 0.9365726113319397,
1646
+ "eval_openbookqa_pairs_runtime": 0.5832,
1647
+ "eval_openbookqa_pairs_samples_per_second": 219.496,
1648
+ "eval_openbookqa_pairs_steps_per_second": 3.43,
1649
+ "step": 216
1650
+ },
1651
+ {
1652
+ "epoch": 1.2194777699364856,
1653
+ "eval_msmarco_pairs_loss": 0.5819053053855896,
1654
+ "eval_msmarco_pairs_runtime": 1.2858,
1655
+ "eval_msmarco_pairs_samples_per_second": 99.551,
1656
+ "eval_msmarco_pairs_steps_per_second": 1.555,
1657
+ "step": 216
1658
+ },
1659
+ {
1660
+ "epoch": 1.2194777699364856,
1661
+ "eval_nq_pairs_loss": 0.8172401785850525,
1662
+ "eval_nq_pairs_runtime": 2.3809,
1663
+ "eval_nq_pairs_samples_per_second": 53.761,
1664
+ "eval_nq_pairs_steps_per_second": 0.84,
1665
+ "step": 216
1666
+ },
1667
+ {
1668
+ "epoch": 1.2194777699364856,
1669
+ "eval_trivia_pairs_loss": 1.1411677598953247,
1670
+ "eval_trivia_pairs_runtime": 4.4162,
1671
+ "eval_trivia_pairs_samples_per_second": 28.984,
1672
+ "eval_trivia_pairs_steps_per_second": 0.453,
1673
+ "step": 216
1674
+ },
1675
+ {
1676
+ "epoch": 1.2194777699364856,
1677
+ "eval_gooaq_pairs_loss": 0.9686058759689331,
1678
+ "eval_gooaq_pairs_runtime": 0.8788,
1679
+ "eval_gooaq_pairs_samples_per_second": 145.645,
1680
+ "eval_gooaq_pairs_steps_per_second": 2.276,
1681
+ "step": 216
1682
+ },
1683
+ {
1684
+ "epoch": 1.2194777699364856,
1685
+ "eval_paws-pos_loss": 0.03953952714800835,
1686
+ "eval_paws-pos_runtime": 0.708,
1687
+ "eval_paws-pos_samples_per_second": 180.782,
1688
+ "eval_paws-pos_steps_per_second": 2.825,
1689
+ "step": 216
1690
+ },
1691
+ {
1692
+ "epoch": 1.2364149611856035,
1693
+ "grad_norm": 3.566471576690674,
1694
+ "learning_rate": 3.904623423672881e-05,
1695
+ "loss": 1.1273,
1696
+ "step": 219
1697
+ },
1698
+ {
1699
+ "epoch": 1.2533521524347213,
1700
+ "grad_norm": 4.086460590362549,
1701
+ "learning_rate": 3.891041339162053e-05,
1702
+ "loss": 1.2568,
1703
+ "step": 222
1704
+ },
1705
+ {
1706
+ "epoch": 1.2702893436838392,
1707
+ "grad_norm": 3.2877376079559326,
1708
+ "learning_rate": 3.876596327016904e-05,
1709
+ "loss": 0.873,
1710
+ "step": 225
1711
+ },
1712
+ {
1713
+ "epoch": 1.287226534932957,
1714
+ "grad_norm": 3.383211851119995,
1715
+ "learning_rate": 3.861298567944728e-05,
1716
+ "loss": 1.0003,
1717
+ "step": 228
1718
+ },
1719
+ {
1720
+ "epoch": 1.3041637261820749,
1721
+ "grad_norm": 3.8474605083465576,
1722
+ "learning_rate": 3.8451588436607487e-05,
1723
+ "loss": 1.142,
1724
+ "step": 231
1725
+ },
1726
+ {
1727
+ "epoch": 1.3211009174311927,
1728
+ "grad_norm": 3.027008533477783,
1729
+ "learning_rate": 3.8281885292892706e-05,
1730
+ "loss": 0.807,
1731
+ "step": 234
1732
+ },
1733
+ {
1734
+ "epoch": 1.3380381086803106,
1735
+ "grad_norm": 2.9607250690460205,
1736
+ "learning_rate": 3.810399585346599e-05,
1737
+ "loss": 1.0231,
1738
+ "step": 237
1739
+ },
1740
+ {
1741
+ "epoch": 1.3549752999294284,
1742
+ "grad_norm": 2.511488676071167,
1743
+ "learning_rate": 3.791804549311382e-05,
1744
+ "loss": 0.797,
1745
+ "step": 240
1746
+ },
1747
+ {
1748
+ "epoch": 1.3719124911785463,
1749
+ "grad_norm": 2.603672504425049,
1750
+ "learning_rate": 3.7724165267883146e-05,
1751
+ "loss": 0.8473,
1752
+ "step": 243
1753
+ },
1754
+ {
1755
+ "epoch": 1.3719124911785463,
1756
+ "eval_NLI-v2_cosine_accuracy": 1.0,
1757
+ "eval_NLI-v2_dot_accuracy": 0.0,
1758
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
1759
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
1760
+ "eval_NLI-v2_max_accuracy": 1.0,
1761
+ "eval_VitaminC_cosine_accuracy": 0.578125,
1762
+ "eval_VitaminC_cosine_accuracy_threshold": 0.7651997804641724,
1763
+ "eval_VitaminC_cosine_ap": 0.5427753322056709,
1764
+ "eval_VitaminC_cosine_f1": 0.6595174262734584,
1765
+ "eval_VitaminC_cosine_f1_threshold": 0.38563254475593567,
1766
+ "eval_VitaminC_cosine_precision": 0.492,
1767
+ "eval_VitaminC_cosine_recall": 1.0,
1768
+ "eval_VitaminC_dot_accuracy": 0.5703125,
1769
+ "eval_VitaminC_dot_accuracy_threshold": 330.23577880859375,
1770
+ "eval_VitaminC_dot_ap": 0.5507967714924796,
1771
+ "eval_VitaminC_dot_f1": 0.6595174262734584,
1772
+ "eval_VitaminC_dot_f1_threshold": 160.55694580078125,
1773
+ "eval_VitaminC_dot_precision": 0.492,
1774
+ "eval_VitaminC_dot_recall": 1.0,
1775
+ "eval_VitaminC_euclidean_accuracy": 0.578125,
1776
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.033781051635742,
1777
+ "eval_VitaminC_euclidean_ap": 0.5406935655135654,
1778
+ "eval_VitaminC_euclidean_f1": 0.6576819407008085,
1779
+ "eval_VitaminC_euclidean_f1_threshold": 22.224994659423828,
1780
+ "eval_VitaminC_euclidean_precision": 0.49193548387096775,
1781
+ "eval_VitaminC_euclidean_recall": 0.991869918699187,
1782
+ "eval_VitaminC_manhattan_accuracy": 0.57421875,
1783
+ "eval_VitaminC_manhattan_accuracy_threshold": 274.7045593261719,
1784
+ "eval_VitaminC_manhattan_ap": 0.5366045405118165,
1785
+ "eval_VitaminC_manhattan_f1": 0.6577540106951871,
1786
+ "eval_VitaminC_manhattan_f1_threshold": 475.4096374511719,
1787
+ "eval_VitaminC_manhattan_precision": 0.4900398406374502,
1788
+ "eval_VitaminC_manhattan_recall": 1.0,
1789
+ "eval_VitaminC_max_accuracy": 0.578125,
1790
+ "eval_VitaminC_max_accuracy_threshold": 330.23577880859375,
1791
+ "eval_VitaminC_max_ap": 0.5507967714924796,
1792
+ "eval_VitaminC_max_f1": 0.6595174262734584,
1793
+ "eval_VitaminC_max_f1_threshold": 475.4096374511719,
1794
+ "eval_VitaminC_max_precision": 0.492,
1795
+ "eval_VitaminC_max_recall": 1.0,
1796
+ "eval_sequential_score": 0.5507967714924796,
1797
+ "eval_sts-test_pearson_cosine": 0.8204982036322743,
1798
+ "eval_sts-test_pearson_dot": 0.8243481169631539,
1799
+ "eval_sts-test_pearson_euclidean": 0.8495098083065487,
1800
+ "eval_sts-test_pearson_manhattan": 0.8491539225772841,
1801
+ "eval_sts-test_pearson_max": 0.8495098083065487,
1802
+ "eval_sts-test_spearman_cosine": 0.8687444375928703,
1803
+ "eval_sts-test_spearman_dot": 0.8509044179305871,
1804
+ "eval_sts-test_spearman_euclidean": 0.8563313271350431,
1805
+ "eval_sts-test_spearman_manhattan": 0.8563900467437737,
1806
+ "eval_sts-test_spearman_max": 0.8687444375928703,
1807
+ "eval_vitaminc-pairs_loss": 2.5139691829681396,
1808
+ "eval_vitaminc-pairs_runtime": 1.449,
1809
+ "eval_vitaminc-pairs_samples_per_second": 74.533,
1810
+ "eval_vitaminc-pairs_steps_per_second": 1.38,
1811
+ "step": 243
1812
+ },
1813
+ {
1814
+ "epoch": 1.3719124911785463,
1815
+ "eval_negation-triplets_loss": 1.8629425764083862,
1816
+ "eval_negation-triplets_runtime": 0.3014,
1817
+ "eval_negation-triplets_samples_per_second": 212.31,
1818
+ "eval_negation-triplets_steps_per_second": 3.317,
1819
+ "step": 243
1820
+ },
1821
+ {
1822
+ "epoch": 1.3719124911785463,
1823
+ "eval_scitail-pairs-pos_loss": 0.17502877116203308,
1824
+ "eval_scitail-pairs-pos_runtime": 0.3707,
1825
+ "eval_scitail-pairs-pos_samples_per_second": 145.673,
1826
+ "eval_scitail-pairs-pos_steps_per_second": 2.698,
1827
+ "step": 243
1828
+ },
1829
+ {
1830
+ "epoch": 1.3719124911785463,
1831
+ "eval_xsum-pairs_loss": 0.2802315950393677,
1832
+ "eval_xsum-pairs_runtime": 3.1565,
1833
+ "eval_xsum-pairs_samples_per_second": 40.551,
1834
+ "eval_xsum-pairs_steps_per_second": 0.634,
1835
+ "step": 243
1836
+ },
1837
+ {
1838
+ "epoch": 1.3719124911785463,
1839
+ "eval_sciq_pairs_loss": 0.046695925295352936,
1840
+ "eval_sciq_pairs_runtime": 3.2866,
1841
+ "eval_sciq_pairs_samples_per_second": 38.946,
1842
+ "eval_sciq_pairs_steps_per_second": 0.609,
1843
+ "step": 243
1844
+ },
1845
+ {
1846
+ "epoch": 1.3719124911785463,
1847
+ "eval_qasc_pairs_loss": 0.2354799211025238,
1848
+ "eval_qasc_pairs_runtime": 0.6228,
1849
+ "eval_qasc_pairs_samples_per_second": 205.533,
1850
+ "eval_qasc_pairs_steps_per_second": 3.211,
1851
+ "step": 243
1852
+ },
1853
+ {
1854
+ "epoch": 1.3719124911785463,
1855
+ "eval_openbookqa_pairs_loss": 0.8562020659446716,
1856
+ "eval_openbookqa_pairs_runtime": 0.5764,
1857
+ "eval_openbookqa_pairs_samples_per_second": 222.058,
1858
+ "eval_openbookqa_pairs_steps_per_second": 3.47,
1859
+ "step": 243
1860
+ },
1861
+ {
1862
+ "epoch": 1.3719124911785463,
1863
+ "eval_msmarco_pairs_loss": 0.5559017658233643,
1864
+ "eval_msmarco_pairs_runtime": 1.2826,
1865
+ "eval_msmarco_pairs_samples_per_second": 99.801,
1866
+ "eval_msmarco_pairs_steps_per_second": 1.559,
1867
+ "step": 243
1868
+ },
1869
+ {
1870
+ "epoch": 1.3719124911785463,
1871
+ "eval_nq_pairs_loss": 0.743526041507721,
1872
+ "eval_nq_pairs_runtime": 2.3784,
1873
+ "eval_nq_pairs_samples_per_second": 53.817,
1874
+ "eval_nq_pairs_steps_per_second": 0.841,
1875
+ "step": 243
1876
+ },
1877
+ {
1878
+ "epoch": 1.3719124911785463,
1879
+ "eval_trivia_pairs_loss": 1.106662392616272,
1880
+ "eval_trivia_pairs_runtime": 4.4193,
1881
+ "eval_trivia_pairs_samples_per_second": 28.964,
1882
+ "eval_trivia_pairs_steps_per_second": 0.453,
1883
+ "step": 243
1884
+ },
1885
+ {
1886
+ "epoch": 1.3719124911785463,
1887
+ "eval_gooaq_pairs_loss": 0.8928955793380737,
1888
+ "eval_gooaq_pairs_runtime": 0.8831,
1889
+ "eval_gooaq_pairs_samples_per_second": 144.944,
1890
+ "eval_gooaq_pairs_steps_per_second": 2.265,
1891
+ "step": 243
1892
+ },
1893
+ {
1894
+ "epoch": 1.3719124911785463,
1895
+ "eval_paws-pos_loss": 0.03428014740347862,
1896
+ "eval_paws-pos_runtime": 0.6872,
1897
+ "eval_paws-pos_samples_per_second": 186.261,
1898
+ "eval_paws-pos_steps_per_second": 2.91,
1899
+ "step": 243
1900
+ },
1901
+ {
1902
+ "epoch": 1.3888496824276642,
1903
+ "grad_norm": 4.478828430175781,
1904
+ "learning_rate": 3.752249182271433e-05,
1905
+ "loss": 0.9531,
1906
+ "step": 246
1907
+ },
1908
+ {
1909
+ "epoch": 1.405786873676782,
1910
+ "grad_norm": 3.3206863403320312,
1911
+ "learning_rate": 3.731316729513507e-05,
1912
+ "loss": 0.9023,
1913
+ "step": 249
1914
+ },
1915
+ {
1916
+ "epoch": 1.4227240649258999,
1917
+ "grad_norm": 3.4713878631591797,
1918
+ "learning_rate": 3.7096339215083274e-05,
1919
+ "loss": 0.8922,
1920
+ "step": 252
1921
+ },
1922
+ {
1923
+ "epoch": 1.4396612561750177,
1924
+ "grad_norm": 3.4212491512298584,
1925
+ "learning_rate": 3.687216040092931e-05,
1926
+ "loss": 0.9874,
1927
+ "step": 255
1928
+ },
1929
+ {
1930
+ "epoch": 1.4565984474241356,
1931
+ "grad_norm": 3.398963689804077,
1932
+ "learning_rate": 3.6640788851771084e-05,
1933
+ "loss": 0.8508,
1934
+ "step": 258
1935
+ },
1936
+ {
1937
+ "epoch": 1.4735356386732534,
1938
+ "grad_norm": 3.350128650665283,
1939
+ "learning_rate": 3.64023876360778e-05,
1940
+ "loss": 0.7149,
1941
+ "step": 261
1942
+ },
1943
+ {
1944
+ "epoch": 1.4904728299223713,
1945
+ "grad_norm": 3.438978433609009,
1946
+ "learning_rate": 3.615712477676081e-05,
1947
+ "loss": 0.894,
1948
+ "step": 264
1949
+ },
1950
+ {
1951
+ "epoch": 1.5074100211714891,
1952
+ "grad_norm": 3.1700806617736816,
1953
+ "learning_rate": 3.5905173132752725e-05,
1954
+ "loss": 0.867,
1955
+ "step": 267
1956
+ },
1957
+ {
1958
+ "epoch": 1.524347212420607,
1959
+ "grad_norm": 3.1567916870117188,
1960
+ "learning_rate": 3.5646710277178006e-05,
1961
+ "loss": 0.7493,
1962
+ "step": 270
1963
+ },
1964
+ {
1965
+ "epoch": 1.524347212420607,
1966
+ "eval_NLI-v2_cosine_accuracy": 1.0,
1967
+ "eval_NLI-v2_dot_accuracy": 0.0,
1968
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
1969
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
1970
+ "eval_NLI-v2_max_accuracy": 1.0,
1971
+ "eval_VitaminC_cosine_accuracy": 0.58203125,
1972
+ "eval_VitaminC_cosine_accuracy_threshold": 0.7990785241127014,
1973
+ "eval_VitaminC_cosine_ap": 0.5489113961762149,
1974
+ "eval_VitaminC_cosine_f1": 0.6595174262734584,
1975
+ "eval_VitaminC_cosine_f1_threshold": 0.3687684237957001,
1976
+ "eval_VitaminC_cosine_precision": 0.492,
1977
+ "eval_VitaminC_cosine_recall": 1.0,
1978
+ "eval_VitaminC_dot_accuracy": 0.57421875,
1979
+ "eval_VitaminC_dot_accuracy_threshold": 328.30560302734375,
1980
+ "eval_VitaminC_dot_ap": 0.5498735151014204,
1981
+ "eval_VitaminC_dot_f1": 0.6595174262734584,
1982
+ "eval_VitaminC_dot_f1_threshold": 153.01849365234375,
1983
+ "eval_VitaminC_dot_precision": 0.492,
1984
+ "eval_VitaminC_dot_recall": 1.0,
1985
+ "eval_VitaminC_euclidean_accuracy": 0.578125,
1986
+ "eval_VitaminC_euclidean_accuracy_threshold": 12.773557662963867,
1987
+ "eval_VitaminC_euclidean_ap": 0.5426159894851803,
1988
+ "eval_VitaminC_euclidean_f1": 0.6559999999999999,
1989
+ "eval_VitaminC_euclidean_f1_threshold": 23.71053123474121,
1990
+ "eval_VitaminC_euclidean_precision": 0.4880952380952381,
1991
+ "eval_VitaminC_euclidean_recall": 1.0,
1992
+ "eval_VitaminC_manhattan_accuracy": 0.58203125,
1993
+ "eval_VitaminC_manhattan_accuracy_threshold": 272.04931640625,
1994
+ "eval_VitaminC_manhattan_ap": 0.5396432749419082,
1995
+ "eval_VitaminC_manhattan_f1": 0.6577540106951871,
1996
+ "eval_VitaminC_manhattan_f1_threshold": 494.33001708984375,
1997
+ "eval_VitaminC_manhattan_precision": 0.4900398406374502,
1998
+ "eval_VitaminC_manhattan_recall": 1.0,
1999
+ "eval_VitaminC_max_accuracy": 0.58203125,
2000
+ "eval_VitaminC_max_accuracy_threshold": 328.30560302734375,
2001
+ "eval_VitaminC_max_ap": 0.5498735151014204,
2002
+ "eval_VitaminC_max_f1": 0.6595174262734584,
2003
+ "eval_VitaminC_max_f1_threshold": 494.33001708984375,
2004
+ "eval_VitaminC_max_precision": 0.492,
2005
+ "eval_VitaminC_max_recall": 1.0,
2006
+ "eval_sequential_score": 0.5498735151014204,
2007
+ "eval_sts-test_pearson_cosine": 0.8213785723785002,
2008
+ "eval_sts-test_pearson_dot": 0.8169840312248031,
2009
+ "eval_sts-test_pearson_euclidean": 0.8549065829936804,
2010
+ "eval_sts-test_pearson_manhattan": 0.8559014033008101,
2011
+ "eval_sts-test_pearson_max": 0.8559014033008101,
2012
+ "eval_sts-test_spearman_cosine": 0.871560114440785,
2013
+ "eval_sts-test_spearman_dot": 0.8412461164335756,
2014
+ "eval_sts-test_spearman_euclidean": 0.8616554770242205,
2015
+ "eval_sts-test_spearman_manhattan": 0.86344749922969,
2016
+ "eval_sts-test_spearman_max": 0.871560114440785,
2017
+ "eval_vitaminc-pairs_loss": 2.5574047565460205,
2018
+ "eval_vitaminc-pairs_runtime": 1.4466,
2019
+ "eval_vitaminc-pairs_samples_per_second": 74.658,
2020
+ "eval_vitaminc-pairs_steps_per_second": 1.383,
2021
+ "step": 270
2022
+ },
2023
+ {
2024
+ "epoch": 1.524347212420607,
2025
+ "eval_negation-triplets_loss": 1.853515386581421,
2026
+ "eval_negation-triplets_runtime": 0.2992,
2027
+ "eval_negation-triplets_samples_per_second": 213.896,
2028
+ "eval_negation-triplets_steps_per_second": 3.342,
2029
+ "step": 270
2030
+ },
2031
+ {
2032
+ "epoch": 1.524347212420607,
2033
+ "eval_scitail-pairs-pos_loss": 0.1692524254322052,
2034
+ "eval_scitail-pairs-pos_runtime": 0.3739,
2035
+ "eval_scitail-pairs-pos_samples_per_second": 144.426,
2036
+ "eval_scitail-pairs-pos_steps_per_second": 2.675,
2037
+ "step": 270
2038
+ },
2039
+ {
2040
+ "epoch": 1.524347212420607,
2041
+ "eval_xsum-pairs_loss": 0.22170975804328918,
2042
+ "eval_xsum-pairs_runtime": 3.1517,
2043
+ "eval_xsum-pairs_samples_per_second": 40.613,
2044
+ "eval_xsum-pairs_steps_per_second": 0.635,
2045
+ "step": 270
2046
+ },
2047
+ {
2048
+ "epoch": 1.524347212420607,
2049
+ "eval_sciq_pairs_loss": 0.04346679896116257,
2050
+ "eval_sciq_pairs_runtime": 3.2686,
2051
+ "eval_sciq_pairs_samples_per_second": 39.16,
2052
+ "eval_sciq_pairs_steps_per_second": 0.612,
2053
+ "step": 270
2054
+ },
2055
+ {
2056
+ "epoch": 1.524347212420607,
2057
+ "eval_qasc_pairs_loss": 0.24427936971187592,
2058
+ "eval_qasc_pairs_runtime": 0.6217,
2059
+ "eval_qasc_pairs_samples_per_second": 205.897,
2060
+ "eval_qasc_pairs_steps_per_second": 3.217,
2061
+ "step": 270
2062
+ },
2063
+ {
2064
+ "epoch": 1.524347212420607,
2065
+ "eval_openbookqa_pairs_loss": 0.7998915910720825,
2066
+ "eval_openbookqa_pairs_runtime": 0.576,
2067
+ "eval_openbookqa_pairs_samples_per_second": 222.206,
2068
+ "eval_openbookqa_pairs_steps_per_second": 3.472,
2069
+ "step": 270
2070
+ },
2071
+ {
2072
+ "epoch": 1.524347212420607,
2073
+ "eval_msmarco_pairs_loss": 0.5027381777763367,
2074
+ "eval_msmarco_pairs_runtime": 1.2901,
2075
+ "eval_msmarco_pairs_samples_per_second": 99.216,
2076
+ "eval_msmarco_pairs_steps_per_second": 1.55,
2077
+ "step": 270
2078
+ },
2079
+ {
2080
+ "epoch": 1.524347212420607,
2081
+ "eval_nq_pairs_loss": 0.6529555916786194,
2082
+ "eval_nq_pairs_runtime": 2.3842,
2083
+ "eval_nq_pairs_samples_per_second": 53.687,
2084
+ "eval_nq_pairs_steps_per_second": 0.839,
2085
+ "step": 270
2086
+ },
2087
+ {
2088
+ "epoch": 1.524347212420607,
2089
+ "eval_trivia_pairs_loss": 1.0634211301803589,
2090
+ "eval_trivia_pairs_runtime": 4.4089,
2091
+ "eval_trivia_pairs_samples_per_second": 29.032,
2092
+ "eval_trivia_pairs_steps_per_second": 0.454,
2093
+ "step": 270
2094
+ },
2095
+ {
2096
+ "epoch": 1.524347212420607,
2097
+ "eval_gooaq_pairs_loss": 0.800453245639801,
2098
+ "eval_gooaq_pairs_runtime": 0.8705,
2099
+ "eval_gooaq_pairs_samples_per_second": 147.034,
2100
+ "eval_gooaq_pairs_steps_per_second": 2.297,
2101
+ "step": 270
2102
+ },
2103
+ {
2104
+ "epoch": 1.524347212420607,
2105
+ "eval_paws-pos_loss": 0.031901415437459946,
2106
+ "eval_paws-pos_runtime": 0.6828,
2107
+ "eval_paws-pos_samples_per_second": 187.456,
2108
+ "eval_paws-pos_steps_per_second": 2.929,
2109
+ "step": 270
2110
+ },
2111
+ {
2112
+ "epoch": 1.5412844036697249,
2113
+ "grad_norm": 3.258525848388672,
2114
+ "learning_rate": 3.5381918372201175e-05,
2115
+ "loss": 0.7974,
2116
+ "step": 273
2117
+ },
2118
+ {
2119
+ "epoch": 1.5582215949188427,
2120
+ "grad_norm": 2.9689552783966064,
2121
+ "learning_rate": 3.5110984040640627e-05,
2122
+ "loss": 0.797,
2123
+ "step": 276
2124
+ },
2125
+ {
2126
+ "epoch": 1.5751587861679606,
2127
+ "grad_norm": 3.50411057472229,
2128
+ "learning_rate": 3.483409823443864e-05,
2129
+ "loss": 0.6749,
2130
+ "step": 279
2131
+ },
2132
+ {
2133
+ "epoch": 1.5920959774170784,
2134
+ "grad_norm": 2.840614080429077,
2135
+ "learning_rate": 3.4551456100080266e-05,
2136
+ "loss": 0.9325,
2137
+ "step": 282
2138
+ },
2139
+ {
2140
+ "epoch": 1.6090331686661963,
2141
+ "grad_norm": 2.934267044067383,
2142
+ "learning_rate": 3.426325684105594e-05,
2143
+ "loss": 0.8418,
2144
+ "step": 285
2145
+ },
2146
+ {
2147
+ "epoch": 1.6259703599153141,
2148
+ "grad_norm": 3.5037455558776855,
2149
+ "learning_rate": 3.396970357746474e-05,
2150
+ "loss": 1.0135,
2151
+ "step": 288
2152
+ },
2153
+ {
2154
+ "epoch": 1.642907551164432,
2155
+ "grad_norm": 3.349975109100342,
2156
+ "learning_rate": 3.3671003202857315e-05,
2157
+ "loss": 0.6961,
2158
+ "step": 291
2159
+ },
2160
+ {
2161
+ "epoch": 1.6598447424135498,
2162
+ "grad_norm": 3.207557439804077,
2163
+ "learning_rate": 3.336736623841924e-05,
2164
+ "loss": 0.9361,
2165
+ "step": 294
2166
+ },
2167
+ {
2168
+ "epoch": 1.6767819336626677,
2169
+ "grad_norm": 2.0259296894073486,
2170
+ "learning_rate": 3.305900668459766e-05,
2171
+ "loss": 0.6747,
2172
+ "step": 297
2173
+ },
2174
+ {
2175
+ "epoch": 1.6767819336626677,
2176
+ "eval_NLI-v2_cosine_accuracy": 1.0,
2177
+ "eval_NLI-v2_dot_accuracy": 0.0,
2178
+ "eval_NLI-v2_euclidean_accuracy": 1.0,
2179
+ "eval_NLI-v2_manhattan_accuracy": 1.0,
2180
+ "eval_NLI-v2_max_accuracy": 1.0,
2181
+ "eval_VitaminC_cosine_accuracy": 0.57421875,
2182
+ "eval_VitaminC_cosine_accuracy_threshold": 0.7887165546417236,
2183
+ "eval_VitaminC_cosine_ap": 0.5443802154749287,
2184
+ "eval_VitaminC_cosine_f1": 0.6595174262734584,
2185
+ "eval_VitaminC_cosine_f1_threshold": 0.35189926624298096,
2186
+ "eval_VitaminC_cosine_precision": 0.492,
2187
+ "eval_VitaminC_cosine_recall": 1.0,
2188
+ "eval_VitaminC_dot_accuracy": 0.5625,
2189
+ "eval_VitaminC_dot_accuracy_threshold": 335.016357421875,
2190
+ "eval_VitaminC_dot_ap": 0.5460930199557891,
2191
+ "eval_VitaminC_dot_f1": 0.6594594594594595,
2192
+ "eval_VitaminC_dot_f1_threshold": 158.6214599609375,
2193
+ "eval_VitaminC_dot_precision": 0.4939271255060729,
2194
+ "eval_VitaminC_dot_recall": 0.991869918699187,
2195
+ "eval_VitaminC_euclidean_accuracy": 0.57421875,
2196
+ "eval_VitaminC_euclidean_accuracy_threshold": 13.359209060668945,
2197
+ "eval_VitaminC_euclidean_ap": 0.5420558119789205,
2198
+ "eval_VitaminC_euclidean_f1": 0.6577540106951871,
2199
+ "eval_VitaminC_euclidean_f1_threshold": 23.44475746154785,
2200
+ "eval_VitaminC_euclidean_precision": 0.4900398406374502,
2201
+ "eval_VitaminC_euclidean_recall": 1.0,
2202
+ "eval_VitaminC_manhattan_accuracy": 0.578125,
2203
+ "eval_VitaminC_manhattan_accuracy_threshold": 309.7850646972656,
2204
+ "eval_VitaminC_manhattan_ap": 0.5398712022586767,
2205
+ "eval_VitaminC_manhattan_f1": 0.6595174262734584,
2206
+ "eval_VitaminC_manhattan_f1_threshold": 486.6765441894531,
2207
+ "eval_VitaminC_manhattan_precision": 0.492,
2208
+ "eval_VitaminC_manhattan_recall": 1.0,
2209
+ "eval_VitaminC_max_accuracy": 0.578125,
2210
+ "eval_VitaminC_max_accuracy_threshold": 335.016357421875,
2211
+ "eval_VitaminC_max_ap": 0.5460930199557891,
2212
+ "eval_VitaminC_max_f1": 0.6595174262734584,
2213
+ "eval_VitaminC_max_f1_threshold": 486.6765441894531,
2214
+ "eval_VitaminC_max_precision": 0.4939271255060729,
2215
+ "eval_VitaminC_max_recall": 1.0,
2216
+ "eval_sequential_score": 0.5460930199557891,
2217
+ "eval_sts-test_pearson_cosine": 0.8332392980969607,
2218
+ "eval_sts-test_pearson_dot": 0.8346600863241642,
2219
+ "eval_sts-test_pearson_euclidean": 0.8653211336269704,
2220
+ "eval_sts-test_pearson_manhattan": 0.8653335270474869,
2221
+ "eval_sts-test_pearson_max": 0.8653335270474869,
2222
+ "eval_sts-test_spearman_cosine": 0.8786841635561152,
2223
+ "eval_sts-test_spearman_dot": 0.8596876540389535,
2224
+ "eval_sts-test_spearman_euclidean": 0.8687344122938186,
2225
+ "eval_sts-test_spearman_manhattan": 0.8687734393508408,
2226
+ "eval_sts-test_spearman_max": 0.8786841635561152,
2227
+ "eval_vitaminc-pairs_loss": 2.4870808124542236,
2228
+ "eval_vitaminc-pairs_runtime": 1.4506,
2229
+ "eval_vitaminc-pairs_samples_per_second": 74.451,
2230
+ "eval_vitaminc-pairs_steps_per_second": 1.379,
2231
+ "step": 297
2232
+ },
2233
+ {
2234
+ "epoch": 1.6767819336626677,
2235
+ "eval_negation-triplets_loss": 1.7349412441253662,
2236
+ "eval_negation-triplets_runtime": 0.2993,
2237
+ "eval_negation-triplets_samples_per_second": 213.838,
2238
+ "eval_negation-triplets_steps_per_second": 3.341,
2239
+ "step": 297
2240
+ },
2241
+ {
2242
+ "epoch": 1.6767819336626677,
2243
+ "eval_scitail-pairs-pos_loss": 0.15961770713329315,
2244
+ "eval_scitail-pairs-pos_runtime": 0.3704,
2245
+ "eval_scitail-pairs-pos_samples_per_second": 145.808,
2246
+ "eval_scitail-pairs-pos_steps_per_second": 2.7,
2247
+ "step": 297
2248
+ },
2249
+ {
2250
+ "epoch": 1.6767819336626677,
2251
+ "eval_xsum-pairs_loss": 0.22417353093624115,
2252
+ "eval_xsum-pairs_runtime": 3.1629,
2253
+ "eval_xsum-pairs_samples_per_second": 40.469,
2254
+ "eval_xsum-pairs_steps_per_second": 0.632,
2255
+ "step": 297
2256
+ },
2257
+ {
2258
+ "epoch": 1.6767819336626677,
2259
+ "eval_sciq_pairs_loss": 0.03957323729991913,
2260
+ "eval_sciq_pairs_runtime": 3.2788,
2261
+ "eval_sciq_pairs_samples_per_second": 39.039,
2262
+ "eval_sciq_pairs_steps_per_second": 0.61,
2263
+ "step": 297
2264
+ },
2265
+ {
2266
+ "epoch": 1.6767819336626677,
2267
+ "eval_qasc_pairs_loss": 0.19627788662910461,
2268
+ "eval_qasc_pairs_runtime": 0.6246,
2269
+ "eval_qasc_pairs_samples_per_second": 204.945,
2270
+ "eval_qasc_pairs_steps_per_second": 3.202,
2271
+ "step": 297
2272
+ },
2273
+ {
2274
+ "epoch": 1.6767819336626677,
2275
+ "eval_openbookqa_pairs_loss": 0.7668256163597107,
2276
+ "eval_openbookqa_pairs_runtime": 0.5769,
2277
+ "eval_openbookqa_pairs_samples_per_second": 221.888,
2278
+ "eval_openbookqa_pairs_steps_per_second": 3.467,
2279
+ "step": 297
2280
+ },
2281
+ {
2282
+ "epoch": 1.6767819336626677,
2283
+ "eval_msmarco_pairs_loss": 0.5024800300598145,
2284
+ "eval_msmarco_pairs_runtime": 1.287,
2285
+ "eval_msmarco_pairs_samples_per_second": 99.457,
2286
+ "eval_msmarco_pairs_steps_per_second": 1.554,
2287
+ "step": 297
2288
+ },
2289
+ {
2290
+ "epoch": 1.6767819336626677,
2291
+ "eval_nq_pairs_loss": 0.6426529288291931,
2292
+ "eval_nq_pairs_runtime": 2.3694,
2293
+ "eval_nq_pairs_samples_per_second": 54.023,
2294
+ "eval_nq_pairs_steps_per_second": 0.844,
2295
+ "step": 297
2296
+ },
2297
+ {
2298
+ "epoch": 1.6767819336626677,
2299
+ "eval_trivia_pairs_loss": 0.9762344360351562,
2300
+ "eval_trivia_pairs_runtime": 4.4202,
2301
+ "eval_trivia_pairs_samples_per_second": 28.958,
2302
+ "eval_trivia_pairs_steps_per_second": 0.452,
2303
+ "step": 297
2304
+ },
2305
+ {
2306
+ "epoch": 1.6767819336626677,
2307
+ "eval_gooaq_pairs_loss": 0.7546207904815674,
2308
+ "eval_gooaq_pairs_runtime": 0.8779,
2309
+ "eval_gooaq_pairs_samples_per_second": 145.803,
2310
+ "eval_gooaq_pairs_steps_per_second": 2.278,
2311
+ "step": 297
2312
+ },
2313
+ {
2314
+ "epoch": 1.6767819336626677,
2315
+ "eval_paws-pos_loss": 0.029145879670977592,
2316
+ "eval_paws-pos_runtime": 0.6938,
2317
+ "eval_paws-pos_samples_per_second": 184.484,
2318
+ "eval_paws-pos_steps_per_second": 2.883,
2319
+ "step": 297
2320
+ },
2321
+ {
2322
+ "epoch": 1.6937191249117856,
2323
+ "grad_norm": 2.766063928604126,
2324
+ "learning_rate": 3.274614187027587e-05,
2325
+ "loss": 0.7786,
2326
+ "step": 300
2327
+ },
2328
+ {
2329
+ "epoch": 1.7106563161609034,
2330
+ "grad_norm": 3.1933176517486572,
2331
+ "learning_rate": 3.2428992299601946e-05,
2332
+ "loss": 0.7171,
2333
+ "step": 303
2334
+ },
2335
+ {
2336
+ "epoch": 1.7275935074100213,
2337
+ "grad_norm": 3.0088443756103516,
2338
+ "learning_rate": 3.2107781496579536e-05,
2339
+ "loss": 0.6627,
2340
+ "step": 306
2341
+ },
2342
+ {
2343
+ "epoch": 1.7445306986591391,
2344
+ "grad_norm": 3.13895845413208,
2345
+ "learning_rate": 3.178273584753023e-05,
2346
+ "loss": 0.6711,
2347
+ "step": 309
2348
+ },
2349
+ {
2350
+ "epoch": 1.761467889908257,
2351
+ "grad_norm": 3.34114933013916,
2352
+ "learning_rate": 3.145408444153868e-05,
2353
+ "loss": 0.9076,
2354
+ "step": 312
2355
+ },
2356
+ {
2357
+ "epoch": 1.7784050811573748,
2358
+ "grad_norm": 2.5035502910614014,
2359
+ "learning_rate": 3.1122058908992746e-05,
2360
+ "loss": 0.7414,
2361
+ "step": 315
2362
+ },
2363
+ {
2364
+ "epoch": 1.7953422724064927,
2365
+ "grad_norm": 2.284698247909546,
2366
+ "learning_rate": 3.078689325833264e-05,
2367
+ "loss": 0.582,
2368
+ "step": 318
2369
+ },
2370
+ {
2371
+ "epoch": 1.8122794636556105,
2372
+ "grad_norm": 2.643444538116455,
2373
+ "learning_rate": 3.044882371112396e-05,
2374
+ "loss": 0.6068,
2375
+ "step": 321
2376
+ }
2377
+ ],
2378
+ "logging_steps": 3,
2379
+ "max_steps": 531,
2380
+ "num_input_tokens_seen": 0,
2381
+ "num_train_epochs": 3,
2382
+ "save_steps": 107,
2383
+ "stateful_callbacks": {
2384
+ "TrainerControl": {
2385
+ "args": {
2386
+ "should_epoch_stop": false,
2387
+ "should_evaluate": false,
2388
+ "should_log": false,
2389
+ "should_save": true,
2390
+ "should_training_stop": false
2391
+ },
2392
+ "attributes": {}
2393
+ }
2394
+ },
2395
+ "total_flos": 0.0,
2396
+ "train_batch_size": 160,
2397
+ "trial_name": null,
2398
+ "trial_params": null
2399
+ }
checkpoint-321/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:526057a01875662c89243f2f1101012515e0f154fca67a38aba3fb44dcb2d6d0
3
+ size 5688