imamnurby commited on
Commit
6d2a5a6
1 Parent(s): 58b31bc

add pattern generator

Browse files
pattern_generator/config.json ADDED
@@ -0,0 +1,172 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./models/codebert2codebert_all_ckpt10/checkpoint-3250",
3
+ "architectures": [
4
+ "EncoderDecoderModel"
5
+ ],
6
+ "decoder": {
7
+ "_name_or_path": "microsoft/codebert-base",
8
+ "add_cross_attention": true,
9
+ "architectures": [
10
+ "RobertaModel"
11
+ ],
12
+ "attention_probs_dropout_prob": 0.1,
13
+ "bad_words_ids": null,
14
+ "bos_token_id": 0,
15
+ "chunk_size_feed_forward": 0,
16
+ "classifier_dropout": null,
17
+ "cross_attention_hidden_size": null,
18
+ "decoder_start_token_id": null,
19
+ "diversity_penalty": 0.0,
20
+ "do_sample": false,
21
+ "early_stopping": false,
22
+ "encoder_no_repeat_ngram_size": 0,
23
+ "eos_token_id": 2,
24
+ "exponential_decay_length_penalty": null,
25
+ "finetuning_task": null,
26
+ "forced_bos_token_id": null,
27
+ "forced_eos_token_id": null,
28
+ "hidden_act": "gelu",
29
+ "hidden_dropout_prob": 0.1,
30
+ "hidden_size": 768,
31
+ "id2label": {
32
+ "0": "LABEL_0",
33
+ "1": "LABEL_1"
34
+ },
35
+ "initializer_range": 0.02,
36
+ "intermediate_size": 3072,
37
+ "is_decoder": true,
38
+ "is_encoder_decoder": false,
39
+ "label2id": {
40
+ "LABEL_0": 0,
41
+ "LABEL_1": 1
42
+ },
43
+ "layer_norm_eps": 1e-05,
44
+ "length_penalty": 1.0,
45
+ "max_length": 20,
46
+ "max_position_embeddings": 514,
47
+ "min_length": 0,
48
+ "model_type": "roberta",
49
+ "no_repeat_ngram_size": 0,
50
+ "num_attention_heads": 12,
51
+ "num_beam_groups": 1,
52
+ "num_beams": 1,
53
+ "num_hidden_layers": 12,
54
+ "num_return_sequences": 1,
55
+ "output_attentions": false,
56
+ "output_hidden_states": false,
57
+ "output_past": true,
58
+ "output_scores": false,
59
+ "pad_token_id": 1,
60
+ "position_embedding_type": "absolute",
61
+ "prefix": null,
62
+ "problem_type": null,
63
+ "pruned_heads": {},
64
+ "remove_invalid_values": false,
65
+ "repetition_penalty": 1.0,
66
+ "return_dict": true,
67
+ "return_dict_in_generate": false,
68
+ "sep_token_id": null,
69
+ "task_specific_params": null,
70
+ "temperature": 1.0,
71
+ "tie_encoder_decoder": false,
72
+ "tie_word_embeddings": true,
73
+ "tokenizer_class": null,
74
+ "top_k": 50,
75
+ "top_p": 1.0,
76
+ "torch_dtype": null,
77
+ "torchscript": false,
78
+ "transformers_version": "4.18.0",
79
+ "type_vocab_size": 1,
80
+ "typical_p": 1.0,
81
+ "use_bfloat16": false,
82
+ "use_cache": true,
83
+ "vocab_size": 50265
84
+ },
85
+ "decoder_start_token_id": 0,
86
+ "encoder": {
87
+ "_name_or_path": "microsoft/codebert-base",
88
+ "add_cross_attention": false,
89
+ "architectures": [
90
+ "RobertaModel"
91
+ ],
92
+ "attention_probs_dropout_prob": 0.1,
93
+ "bad_words_ids": null,
94
+ "bos_token_id": 0,
95
+ "chunk_size_feed_forward": 0,
96
+ "classifier_dropout": null,
97
+ "cross_attention_hidden_size": null,
98
+ "decoder_start_token_id": null,
99
+ "diversity_penalty": 0.0,
100
+ "do_sample": false,
101
+ "early_stopping": false,
102
+ "encoder_no_repeat_ngram_size": 0,
103
+ "eos_token_id": 2,
104
+ "exponential_decay_length_penalty": null,
105
+ "finetuning_task": null,
106
+ "forced_bos_token_id": null,
107
+ "forced_eos_token_id": null,
108
+ "hidden_act": "gelu",
109
+ "hidden_dropout_prob": 0.1,
110
+ "hidden_size": 768,
111
+ "id2label": {
112
+ "0": "LABEL_0",
113
+ "1": "LABEL_1"
114
+ },
115
+ "initializer_range": 0.02,
116
+ "intermediate_size": 3072,
117
+ "is_decoder": false,
118
+ "is_encoder_decoder": false,
119
+ "label2id": {
120
+ "LABEL_0": 0,
121
+ "LABEL_1": 1
122
+ },
123
+ "layer_norm_eps": 1e-05,
124
+ "length_penalty": 1.0,
125
+ "max_length": 20,
126
+ "max_position_embeddings": 514,
127
+ "min_length": 0,
128
+ "model_type": "roberta",
129
+ "no_repeat_ngram_size": 0,
130
+ "num_attention_heads": 12,
131
+ "num_beam_groups": 1,
132
+ "num_beams": 1,
133
+ "num_hidden_layers": 12,
134
+ "num_return_sequences": 1,
135
+ "output_attentions": false,
136
+ "output_hidden_states": false,
137
+ "output_past": true,
138
+ "output_scores": false,
139
+ "pad_token_id": 1,
140
+ "position_embedding_type": "absolute",
141
+ "prefix": null,
142
+ "problem_type": null,
143
+ "pruned_heads": {},
144
+ "remove_invalid_values": false,
145
+ "repetition_penalty": 1.0,
146
+ "return_dict": true,
147
+ "return_dict_in_generate": false,
148
+ "sep_token_id": null,
149
+ "task_specific_params": null,
150
+ "temperature": 1.0,
151
+ "tie_encoder_decoder": false,
152
+ "tie_word_embeddings": true,
153
+ "tokenizer_class": null,
154
+ "top_k": 50,
155
+ "top_p": 1.0,
156
+ "torch_dtype": null,
157
+ "torchscript": false,
158
+ "transformers_version": "4.18.0",
159
+ "type_vocab_size": 1,
160
+ "typical_p": 1.0,
161
+ "use_bfloat16": false,
162
+ "use_cache": true,
163
+ "vocab_size": 50265
164
+ },
165
+ "is_encoder_decoder": true,
166
+ "max_length": 150,
167
+ "model_type": "encoder-decoder",
168
+ "pad_token_id": 1,
169
+ "torch_dtype": "float32",
170
+ "transformers_version": null,
171
+ "vocab_size": 50265
172
+ }
pattern_generator/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
pattern_generator/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e06ec22ab1be4d9ba139e2e4eb57eff7b6ab893fd1273d554387262aea5288d6
3
+ size 2217280621
pattern_generator/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:37dcc9a1a8f175402c0c525c592876982b0696963c1677d53de24aaa157ccbda
3
+ size 1111040466
pattern_generator/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cca4c9efb31720c9ae67647b30a990797581fb8a67079ef164590700f0821b6a
3
+ size 14657
pattern_generator/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e0915acefc2cec9aab4ff91745afaa2910b16ae18f4576f1e7666d97c1702edd
3
+ size 559
pattern_generator/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e332a820e74b70711b39b9471328059b04d39c19ecd2110bbb2e9f83301324a9
3
+ size 623
pattern_generator/special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"}
pattern_generator/tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"errors": "replace", "bos_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "unk_token": {"content": "<unk>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sep_token": {"content": "</s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "<s>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "<pad>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "model_max_length": 512, "special_tokens_map_file": "/root/.cache/huggingface/transformers/4da22fec5578ecec5fbe32b80d5a43c6fb66b0f6ad5e359979463f0722ac3b5f.0dc5b1041f62041ebbd23b1297f2f573769d5c97d8b7c28180ec86b8f6185aa8", "name_or_path": "./models/codebert2codebert_all_ckpt10/checkpoint-3250", "tokenizer_class": "RobertaTokenizer"}
pattern_generator/trainer_state.json ADDED
@@ -0,0 +1,1416 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 99.9976976208749,
5
+ "global_step": 32500,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "learning_rate": 1.6250000000000002e-05,
13
+ "loss": 1.0806,
14
+ "step": 325
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_loss": 0.7577828168869019,
19
+ "eval_runtime": 1.6267,
20
+ "eval_samples_per_second": 307.365,
21
+ "eval_steps_per_second": 38.728,
22
+ "step": 325
23
+ },
24
+ {
25
+ "epoch": 2.0,
26
+ "learning_rate": 3.2500000000000004e-05,
27
+ "loss": 0.8255,
28
+ "step": 650
29
+ },
30
+ {
31
+ "epoch": 2.0,
32
+ "eval_loss": 0.556172788143158,
33
+ "eval_runtime": 1.6277,
34
+ "eval_samples_per_second": 307.186,
35
+ "eval_steps_per_second": 38.705,
36
+ "step": 650
37
+ },
38
+ {
39
+ "epoch": 3.0,
40
+ "learning_rate": 4.875e-05,
41
+ "loss": 0.6001,
42
+ "step": 975
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "eval_loss": 0.421012818813324,
47
+ "eval_runtime": 1.6279,
48
+ "eval_samples_per_second": 307.149,
49
+ "eval_steps_per_second": 38.701,
50
+ "step": 975
51
+ },
52
+ {
53
+ "epoch": 4.0,
54
+ "learning_rate": 4.9523809523809525e-05,
55
+ "loss": 0.4523,
56
+ "step": 1300
57
+ },
58
+ {
59
+ "epoch": 4.0,
60
+ "eval_loss": 0.3349049389362335,
61
+ "eval_runtime": 1.6071,
62
+ "eval_samples_per_second": 311.117,
63
+ "eval_steps_per_second": 39.201,
64
+ "step": 1300
65
+ },
66
+ {
67
+ "epoch": 5.0,
68
+ "learning_rate": 4.900793650793651e-05,
69
+ "loss": 0.3601,
70
+ "step": 1625
71
+ },
72
+ {
73
+ "epoch": 5.0,
74
+ "eval_loss": 0.29192015528678894,
75
+ "eval_runtime": 1.6111,
76
+ "eval_samples_per_second": 310.348,
77
+ "eval_steps_per_second": 39.104,
78
+ "step": 1625
79
+ },
80
+ {
81
+ "epoch": 6.0,
82
+ "learning_rate": 4.84920634920635e-05,
83
+ "loss": 0.3035,
84
+ "step": 1950
85
+ },
86
+ {
87
+ "epoch": 6.0,
88
+ "eval_loss": 0.25816571712493896,
89
+ "eval_runtime": 1.6209,
90
+ "eval_samples_per_second": 308.476,
91
+ "eval_steps_per_second": 38.868,
92
+ "step": 1950
93
+ },
94
+ {
95
+ "epoch": 7.0,
96
+ "learning_rate": 4.797619047619048e-05,
97
+ "loss": 0.2648,
98
+ "step": 2275
99
+ },
100
+ {
101
+ "epoch": 7.0,
102
+ "eval_loss": 0.239731565117836,
103
+ "eval_runtime": 1.6133,
104
+ "eval_samples_per_second": 309.927,
105
+ "eval_steps_per_second": 39.051,
106
+ "step": 2275
107
+ },
108
+ {
109
+ "epoch": 8.0,
110
+ "learning_rate": 4.746031746031746e-05,
111
+ "loss": 0.2367,
112
+ "step": 2600
113
+ },
114
+ {
115
+ "epoch": 8.0,
116
+ "eval_loss": 0.22367145121097565,
117
+ "eval_runtime": 1.6208,
118
+ "eval_samples_per_second": 308.483,
119
+ "eval_steps_per_second": 38.869,
120
+ "step": 2600
121
+ },
122
+ {
123
+ "epoch": 9.0,
124
+ "learning_rate": 4.6944444444444446e-05,
125
+ "loss": 0.216,
126
+ "step": 2925
127
+ },
128
+ {
129
+ "epoch": 9.0,
130
+ "eval_loss": 0.21722149848937988,
131
+ "eval_runtime": 1.6243,
132
+ "eval_samples_per_second": 307.822,
133
+ "eval_steps_per_second": 38.786,
134
+ "step": 2925
135
+ },
136
+ {
137
+ "epoch": 10.0,
138
+ "learning_rate": 4.642857142857143e-05,
139
+ "loss": 0.199,
140
+ "step": 3250
141
+ },
142
+ {
143
+ "epoch": 10.0,
144
+ "eval_loss": 0.21139533817768097,
145
+ "eval_runtime": 1.624,
146
+ "eval_samples_per_second": 307.888,
147
+ "eval_steps_per_second": 38.794,
148
+ "step": 3250
149
+ },
150
+ {
151
+ "epoch": 11.0,
152
+ "learning_rate": 4.591269841269841e-05,
153
+ "loss": 0.1856,
154
+ "step": 3575
155
+ },
156
+ {
157
+ "epoch": 11.0,
158
+ "eval_loss": 0.21221421658992767,
159
+ "eval_runtime": 1.6173,
160
+ "eval_samples_per_second": 309.16,
161
+ "eval_steps_per_second": 38.954,
162
+ "step": 3575
163
+ },
164
+ {
165
+ "epoch": 12.0,
166
+ "learning_rate": 4.5396825396825395e-05,
167
+ "loss": 0.1751,
168
+ "step": 3900
169
+ },
170
+ {
171
+ "epoch": 12.0,
172
+ "eval_loss": 0.20572426915168762,
173
+ "eval_runtime": 1.6208,
174
+ "eval_samples_per_second": 308.486,
175
+ "eval_steps_per_second": 38.869,
176
+ "step": 3900
177
+ },
178
+ {
179
+ "epoch": 13.0,
180
+ "learning_rate": 4.4880952380952385e-05,
181
+ "loss": 0.1667,
182
+ "step": 4225
183
+ },
184
+ {
185
+ "epoch": 13.0,
186
+ "eval_loss": 0.20298737287521362,
187
+ "eval_runtime": 1.6143,
188
+ "eval_samples_per_second": 309.733,
189
+ "eval_steps_per_second": 39.026,
190
+ "step": 4225
191
+ },
192
+ {
193
+ "epoch": 14.0,
194
+ "learning_rate": 4.436507936507937e-05,
195
+ "loss": 0.1592,
196
+ "step": 4550
197
+ },
198
+ {
199
+ "epoch": 14.0,
200
+ "eval_loss": 0.20216256380081177,
201
+ "eval_runtime": 1.6176,
202
+ "eval_samples_per_second": 309.097,
203
+ "eval_steps_per_second": 38.946,
204
+ "step": 4550
205
+ },
206
+ {
207
+ "epoch": 15.0,
208
+ "learning_rate": 4.384920634920635e-05,
209
+ "loss": 0.1528,
210
+ "step": 4875
211
+ },
212
+ {
213
+ "epoch": 15.0,
214
+ "eval_loss": 0.19866463541984558,
215
+ "eval_runtime": 1.5537,
216
+ "eval_samples_per_second": 321.813,
217
+ "eval_steps_per_second": 40.548,
218
+ "step": 4875
219
+ },
220
+ {
221
+ "epoch": 16.0,
222
+ "learning_rate": 4.3333333333333334e-05,
223
+ "loss": 0.1475,
224
+ "step": 5200
225
+ },
226
+ {
227
+ "epoch": 16.0,
228
+ "eval_loss": 0.194817915558815,
229
+ "eval_runtime": 1.6315,
230
+ "eval_samples_per_second": 306.466,
231
+ "eval_steps_per_second": 38.615,
232
+ "step": 5200
233
+ },
234
+ {
235
+ "epoch": 17.0,
236
+ "learning_rate": 4.282063492063492e-05,
237
+ "loss": 0.1435,
238
+ "step": 5525
239
+ },
240
+ {
241
+ "epoch": 17.0,
242
+ "eval_loss": 0.20059792697429657,
243
+ "eval_runtime": 1.6283,
244
+ "eval_samples_per_second": 307.061,
245
+ "eval_steps_per_second": 38.69,
246
+ "step": 5525
247
+ },
248
+ {
249
+ "epoch": 18.0,
250
+ "learning_rate": 4.230476190476191e-05,
251
+ "loss": 0.1394,
252
+ "step": 5850
253
+ },
254
+ {
255
+ "epoch": 18.0,
256
+ "eval_loss": 0.19283074140548706,
257
+ "eval_runtime": 1.6289,
258
+ "eval_samples_per_second": 306.96,
259
+ "eval_steps_per_second": 38.677,
260
+ "step": 5850
261
+ },
262
+ {
263
+ "epoch": 19.0,
264
+ "learning_rate": 4.178888888888889e-05,
265
+ "loss": 0.1353,
266
+ "step": 6175
267
+ },
268
+ {
269
+ "epoch": 19.0,
270
+ "eval_loss": 0.19786441326141357,
271
+ "eval_runtime": 1.6304,
272
+ "eval_samples_per_second": 306.678,
273
+ "eval_steps_per_second": 38.641,
274
+ "step": 6175
275
+ },
276
+ {
277
+ "epoch": 20.0,
278
+ "learning_rate": 4.1273015873015876e-05,
279
+ "loss": 0.132,
280
+ "step": 6500
281
+ },
282
+ {
283
+ "epoch": 20.0,
284
+ "eval_loss": 0.1935906708240509,
285
+ "eval_runtime": 1.6121,
286
+ "eval_samples_per_second": 310.148,
287
+ "eval_steps_per_second": 39.079,
288
+ "step": 6500
289
+ },
290
+ {
291
+ "epoch": 21.0,
292
+ "learning_rate": 4.075714285714286e-05,
293
+ "loss": 0.1286,
294
+ "step": 6825
295
+ },
296
+ {
297
+ "epoch": 21.0,
298
+ "eval_loss": 0.19877703487873077,
299
+ "eval_runtime": 1.616,
300
+ "eval_samples_per_second": 309.413,
301
+ "eval_steps_per_second": 38.986,
302
+ "step": 6825
303
+ },
304
+ {
305
+ "epoch": 22.0,
306
+ "learning_rate": 4.024126984126984e-05,
307
+ "loss": 0.126,
308
+ "step": 7150
309
+ },
310
+ {
311
+ "epoch": 22.0,
312
+ "eval_loss": 0.19710922241210938,
313
+ "eval_runtime": 1.6082,
314
+ "eval_samples_per_second": 310.904,
315
+ "eval_steps_per_second": 39.174,
316
+ "step": 7150
317
+ },
318
+ {
319
+ "epoch": 23.0,
320
+ "learning_rate": 3.9725396825396825e-05,
321
+ "loss": 0.1235,
322
+ "step": 7475
323
+ },
324
+ {
325
+ "epoch": 23.0,
326
+ "eval_loss": 0.19361434876918793,
327
+ "eval_runtime": 1.6189,
328
+ "eval_samples_per_second": 308.861,
329
+ "eval_steps_per_second": 38.916,
330
+ "step": 7475
331
+ },
332
+ {
333
+ "epoch": 24.0,
334
+ "learning_rate": 3.921111111111112e-05,
335
+ "loss": 0.1222,
336
+ "step": 7800
337
+ },
338
+ {
339
+ "epoch": 24.0,
340
+ "eval_loss": 0.19744054973125458,
341
+ "eval_runtime": 1.6204,
342
+ "eval_samples_per_second": 308.557,
343
+ "eval_steps_per_second": 38.878,
344
+ "step": 7800
345
+ },
346
+ {
347
+ "epoch": 25.0,
348
+ "learning_rate": 3.869523809523809e-05,
349
+ "loss": 0.1197,
350
+ "step": 8125
351
+ },
352
+ {
353
+ "epoch": 25.0,
354
+ "eval_loss": 0.1937996745109558,
355
+ "eval_runtime": 1.6179,
356
+ "eval_samples_per_second": 309.05,
357
+ "eval_steps_per_second": 38.94,
358
+ "step": 8125
359
+ },
360
+ {
361
+ "epoch": 26.0,
362
+ "learning_rate": 3.817936507936508e-05,
363
+ "loss": 0.1178,
364
+ "step": 8450
365
+ },
366
+ {
367
+ "epoch": 26.0,
368
+ "eval_loss": 0.195204496383667,
369
+ "eval_runtime": 1.6285,
370
+ "eval_samples_per_second": 307.033,
371
+ "eval_steps_per_second": 38.686,
372
+ "step": 8450
373
+ },
374
+ {
375
+ "epoch": 27.0,
376
+ "learning_rate": 3.7663492063492066e-05,
377
+ "loss": 0.1158,
378
+ "step": 8775
379
+ },
380
+ {
381
+ "epoch": 27.0,
382
+ "eval_loss": 0.1947883665561676,
383
+ "eval_runtime": 1.631,
384
+ "eval_samples_per_second": 306.561,
385
+ "eval_steps_per_second": 38.627,
386
+ "step": 8775
387
+ },
388
+ {
389
+ "epoch": 28.0,
390
+ "learning_rate": 3.714761904761905e-05,
391
+ "loss": 0.1146,
392
+ "step": 9100
393
+ },
394
+ {
395
+ "epoch": 28.0,
396
+ "eval_loss": 0.19417957961559296,
397
+ "eval_runtime": 1.6321,
398
+ "eval_samples_per_second": 306.362,
399
+ "eval_steps_per_second": 38.602,
400
+ "step": 9100
401
+ },
402
+ {
403
+ "epoch": 29.0,
404
+ "learning_rate": 3.663174603174603e-05,
405
+ "loss": 0.1126,
406
+ "step": 9425
407
+ },
408
+ {
409
+ "epoch": 29.0,
410
+ "eval_loss": 0.19478720426559448,
411
+ "eval_runtime": 1.6326,
412
+ "eval_samples_per_second": 306.262,
413
+ "eval_steps_per_second": 38.589,
414
+ "step": 9425
415
+ },
416
+ {
417
+ "epoch": 30.0,
418
+ "learning_rate": 3.611587301587302e-05,
419
+ "loss": 0.1113,
420
+ "step": 9750
421
+ },
422
+ {
423
+ "epoch": 30.0,
424
+ "eval_loss": 0.1987549215555191,
425
+ "eval_runtime": 1.6326,
426
+ "eval_samples_per_second": 306.255,
427
+ "eval_steps_per_second": 38.588,
428
+ "step": 9750
429
+ },
430
+ {
431
+ "epoch": 31.0,
432
+ "learning_rate": 3.56e-05,
433
+ "loss": 0.1103,
434
+ "step": 10075
435
+ },
436
+ {
437
+ "epoch": 31.0,
438
+ "eval_loss": 0.19776514172554016,
439
+ "eval_runtime": 1.6335,
440
+ "eval_samples_per_second": 306.099,
441
+ "eval_steps_per_second": 38.568,
442
+ "step": 10075
443
+ },
444
+ {
445
+ "epoch": 32.0,
446
+ "learning_rate": 3.508412698412699e-05,
447
+ "loss": 0.1091,
448
+ "step": 10400
449
+ },
450
+ {
451
+ "epoch": 32.0,
452
+ "eval_loss": 0.19811394810676575,
453
+ "eval_runtime": 1.6237,
454
+ "eval_samples_per_second": 307.933,
455
+ "eval_steps_per_second": 38.8,
456
+ "step": 10400
457
+ },
458
+ {
459
+ "epoch": 33.0,
460
+ "learning_rate": 3.456825396825397e-05,
461
+ "loss": 0.108,
462
+ "step": 10725
463
+ },
464
+ {
465
+ "epoch": 33.0,
466
+ "eval_loss": 0.1984662413597107,
467
+ "eval_runtime": 1.6185,
468
+ "eval_samples_per_second": 308.924,
469
+ "eval_steps_per_second": 38.924,
470
+ "step": 10725
471
+ },
472
+ {
473
+ "epoch": 34.0,
474
+ "learning_rate": 3.4052380952380954e-05,
475
+ "loss": 0.1071,
476
+ "step": 11050
477
+ },
478
+ {
479
+ "epoch": 34.0,
480
+ "eval_loss": 0.19538824260234833,
481
+ "eval_runtime": 1.6308,
482
+ "eval_samples_per_second": 306.593,
483
+ "eval_steps_per_second": 38.631,
484
+ "step": 11050
485
+ },
486
+ {
487
+ "epoch": 35.0,
488
+ "learning_rate": 3.353650793650794e-05,
489
+ "loss": 0.1058,
490
+ "step": 11375
491
+ },
492
+ {
493
+ "epoch": 35.0,
494
+ "eval_loss": 0.19716860353946686,
495
+ "eval_runtime": 1.6308,
496
+ "eval_samples_per_second": 306.593,
497
+ "eval_steps_per_second": 38.631,
498
+ "step": 11375
499
+ },
500
+ {
501
+ "epoch": 36.0,
502
+ "learning_rate": 3.3020634920634926e-05,
503
+ "loss": 0.1046,
504
+ "step": 11700
505
+ },
506
+ {
507
+ "epoch": 36.0,
508
+ "eval_loss": 0.19588053226470947,
509
+ "eval_runtime": 1.6331,
510
+ "eval_samples_per_second": 306.174,
511
+ "eval_steps_per_second": 38.578,
512
+ "step": 11700
513
+ },
514
+ {
515
+ "epoch": 37.0,
516
+ "learning_rate": 3.25047619047619e-05,
517
+ "loss": 0.1039,
518
+ "step": 12025
519
+ },
520
+ {
521
+ "epoch": 37.0,
522
+ "eval_loss": 0.19945307075977325,
523
+ "eval_runtime": 1.6342,
524
+ "eval_samples_per_second": 305.961,
525
+ "eval_steps_per_second": 38.551,
526
+ "step": 12025
527
+ },
528
+ {
529
+ "epoch": 38.0,
530
+ "learning_rate": 3.198888888888889e-05,
531
+ "loss": 0.1033,
532
+ "step": 12350
533
+ },
534
+ {
535
+ "epoch": 38.0,
536
+ "eval_loss": 0.19728580117225647,
537
+ "eval_runtime": 1.6182,
538
+ "eval_samples_per_second": 308.98,
539
+ "eval_steps_per_second": 38.931,
540
+ "step": 12350
541
+ },
542
+ {
543
+ "epoch": 39.0,
544
+ "learning_rate": 3.1473015873015875e-05,
545
+ "loss": 0.1021,
546
+ "step": 12675
547
+ },
548
+ {
549
+ "epoch": 39.0,
550
+ "eval_loss": 0.19883698225021362,
551
+ "eval_runtime": 1.6098,
552
+ "eval_samples_per_second": 310.588,
553
+ "eval_steps_per_second": 39.134,
554
+ "step": 12675
555
+ },
556
+ {
557
+ "epoch": 40.0,
558
+ "learning_rate": 3.095714285714286e-05,
559
+ "loss": 0.1014,
560
+ "step": 13000
561
+ },
562
+ {
563
+ "epoch": 40.0,
564
+ "eval_loss": 0.19719742238521576,
565
+ "eval_runtime": 1.6198,
566
+ "eval_samples_per_second": 308.678,
567
+ "eval_steps_per_second": 38.893,
568
+ "step": 13000
569
+ },
570
+ {
571
+ "epoch": 41.0,
572
+ "learning_rate": 3.044126984126984e-05,
573
+ "loss": 0.101,
574
+ "step": 13325
575
+ },
576
+ {
577
+ "epoch": 41.0,
578
+ "eval_loss": 0.1962202489376068,
579
+ "eval_runtime": 1.6168,
580
+ "eval_samples_per_second": 309.257,
581
+ "eval_steps_per_second": 38.966,
582
+ "step": 13325
583
+ },
584
+ {
585
+ "epoch": 42.0,
586
+ "learning_rate": 2.9925396825396828e-05,
587
+ "loss": 0.1001,
588
+ "step": 13650
589
+ },
590
+ {
591
+ "epoch": 42.0,
592
+ "eval_loss": 0.19871322810649872,
593
+ "eval_runtime": 1.6213,
594
+ "eval_samples_per_second": 308.398,
595
+ "eval_steps_per_second": 38.858,
596
+ "step": 13650
597
+ },
598
+ {
599
+ "epoch": 43.0,
600
+ "learning_rate": 2.9409523809523807e-05,
601
+ "loss": 0.0993,
602
+ "step": 13975
603
+ },
604
+ {
605
+ "epoch": 43.0,
606
+ "eval_loss": 0.20118726789951324,
607
+ "eval_runtime": 1.6162,
608
+ "eval_samples_per_second": 309.364,
609
+ "eval_steps_per_second": 38.98,
610
+ "step": 13975
611
+ },
612
+ {
613
+ "epoch": 44.0,
614
+ "learning_rate": 2.8893650793650794e-05,
615
+ "loss": 0.0989,
616
+ "step": 14300
617
+ },
618
+ {
619
+ "epoch": 44.0,
620
+ "eval_loss": 0.20416098833084106,
621
+ "eval_runtime": 1.615,
622
+ "eval_samples_per_second": 309.592,
623
+ "eval_steps_per_second": 39.009,
624
+ "step": 14300
625
+ },
626
+ {
627
+ "epoch": 45.0,
628
+ "learning_rate": 2.837777777777778e-05,
629
+ "loss": 0.0981,
630
+ "step": 14625
631
+ },
632
+ {
633
+ "epoch": 45.0,
634
+ "eval_loss": 0.20017844438552856,
635
+ "eval_runtime": 1.6211,
636
+ "eval_samples_per_second": 308.434,
637
+ "eval_steps_per_second": 38.863,
638
+ "step": 14625
639
+ },
640
+ {
641
+ "epoch": 46.0,
642
+ "learning_rate": 2.786190476190476e-05,
643
+ "loss": 0.0977,
644
+ "step": 14950
645
+ },
646
+ {
647
+ "epoch": 46.0,
648
+ "eval_loss": 0.1984575241804123,
649
+ "eval_runtime": 1.6178,
650
+ "eval_samples_per_second": 309.053,
651
+ "eval_steps_per_second": 38.941,
652
+ "step": 14950
653
+ },
654
+ {
655
+ "epoch": 47.0,
656
+ "learning_rate": 2.7346031746031746e-05,
657
+ "loss": 0.0972,
658
+ "step": 15275
659
+ },
660
+ {
661
+ "epoch": 47.0,
662
+ "eval_loss": 0.1984962373971939,
663
+ "eval_runtime": 1.6179,
664
+ "eval_samples_per_second": 309.052,
665
+ "eval_steps_per_second": 38.941,
666
+ "step": 15275
667
+ },
668
+ {
669
+ "epoch": 48.0,
670
+ "learning_rate": 2.6830158730158732e-05,
671
+ "loss": 0.0967,
672
+ "step": 15600
673
+ },
674
+ {
675
+ "epoch": 48.0,
676
+ "eval_loss": 0.20049268007278442,
677
+ "eval_runtime": 1.6168,
678
+ "eval_samples_per_second": 309.261,
679
+ "eval_steps_per_second": 38.967,
680
+ "step": 15600
681
+ },
682
+ {
683
+ "epoch": 49.0,
684
+ "learning_rate": 2.6315873015873017e-05,
685
+ "loss": 0.0961,
686
+ "step": 15925
687
+ },
688
+ {
689
+ "epoch": 49.0,
690
+ "eval_loss": 0.20437875390052795,
691
+ "eval_runtime": 1.6219,
692
+ "eval_samples_per_second": 308.282,
693
+ "eval_steps_per_second": 38.843,
694
+ "step": 15925
695
+ },
696
+ {
697
+ "epoch": 50.0,
698
+ "learning_rate": 2.58e-05,
699
+ "loss": 0.0954,
700
+ "step": 16250
701
+ },
702
+ {
703
+ "epoch": 50.0,
704
+ "eval_loss": 0.20537793636322021,
705
+ "eval_runtime": 1.615,
706
+ "eval_samples_per_second": 309.596,
707
+ "eval_steps_per_second": 39.009,
708
+ "step": 16250
709
+ },
710
+ {
711
+ "epoch": 51.0,
712
+ "learning_rate": 2.5284126984126987e-05,
713
+ "loss": 0.095,
714
+ "step": 16575
715
+ },
716
+ {
717
+ "epoch": 51.0,
718
+ "eval_loss": 0.20233562588691711,
719
+ "eval_runtime": 1.6189,
720
+ "eval_samples_per_second": 308.861,
721
+ "eval_steps_per_second": 38.916,
722
+ "step": 16575
723
+ },
724
+ {
725
+ "epoch": 52.0,
726
+ "learning_rate": 2.476825396825397e-05,
727
+ "loss": 0.0946,
728
+ "step": 16900
729
+ },
730
+ {
731
+ "epoch": 52.0,
732
+ "eval_loss": 0.2065245360136032,
733
+ "eval_runtime": 1.6223,
734
+ "eval_samples_per_second": 308.199,
735
+ "eval_steps_per_second": 38.833,
736
+ "step": 16900
737
+ },
738
+ {
739
+ "epoch": 53.0,
740
+ "learning_rate": 2.4253968253968255e-05,
741
+ "loss": 0.0943,
742
+ "step": 17225
743
+ },
744
+ {
745
+ "epoch": 53.0,
746
+ "eval_loss": 0.2037389576435089,
747
+ "eval_runtime": 1.6223,
748
+ "eval_samples_per_second": 308.208,
749
+ "eval_steps_per_second": 38.834,
750
+ "step": 17225
751
+ },
752
+ {
753
+ "epoch": 54.0,
754
+ "learning_rate": 2.373809523809524e-05,
755
+ "loss": 0.0938,
756
+ "step": 17550
757
+ },
758
+ {
759
+ "epoch": 54.0,
760
+ "eval_loss": 0.20668557286262512,
761
+ "eval_runtime": 1.6254,
762
+ "eval_samples_per_second": 307.609,
763
+ "eval_steps_per_second": 38.759,
764
+ "step": 17550
765
+ },
766
+ {
767
+ "epoch": 55.0,
768
+ "learning_rate": 2.3222222222222224e-05,
769
+ "loss": 0.0935,
770
+ "step": 17875
771
+ },
772
+ {
773
+ "epoch": 55.0,
774
+ "eval_loss": 0.2060803920030594,
775
+ "eval_runtime": 1.6215,
776
+ "eval_samples_per_second": 308.359,
777
+ "eval_steps_per_second": 38.853,
778
+ "step": 17875
779
+ },
780
+ {
781
+ "epoch": 56.0,
782
+ "learning_rate": 2.2706349206349207e-05,
783
+ "loss": 0.0932,
784
+ "step": 18200
785
+ },
786
+ {
787
+ "epoch": 56.0,
788
+ "eval_loss": 0.20473302900791168,
789
+ "eval_runtime": 1.6144,
790
+ "eval_samples_per_second": 309.707,
791
+ "eval_steps_per_second": 39.023,
792
+ "step": 18200
793
+ },
794
+ {
795
+ "epoch": 57.0,
796
+ "learning_rate": 2.2192063492063492e-05,
797
+ "loss": 0.093,
798
+ "step": 18525
799
+ },
800
+ {
801
+ "epoch": 57.0,
802
+ "eval_loss": 0.2071973830461502,
803
+ "eval_runtime": 1.657,
804
+ "eval_samples_per_second": 301.749,
805
+ "eval_steps_per_second": 38.02,
806
+ "step": 18525
807
+ },
808
+ {
809
+ "epoch": 58.0,
810
+ "learning_rate": 2.1676190476190478e-05,
811
+ "loss": 0.0923,
812
+ "step": 18850
813
+ },
814
+ {
815
+ "epoch": 58.0,
816
+ "eval_loss": 0.20672236382961273,
817
+ "eval_runtime": 1.619,
818
+ "eval_samples_per_second": 308.841,
819
+ "eval_steps_per_second": 38.914,
820
+ "step": 18850
821
+ },
822
+ {
823
+ "epoch": 59.0,
824
+ "learning_rate": 2.116031746031746e-05,
825
+ "loss": 0.092,
826
+ "step": 19175
827
+ },
828
+ {
829
+ "epoch": 59.0,
830
+ "eval_loss": 0.20423702895641327,
831
+ "eval_runtime": 1.6318,
832
+ "eval_samples_per_second": 306.408,
833
+ "eval_steps_per_second": 38.607,
834
+ "step": 19175
835
+ },
836
+ {
837
+ "epoch": 60.0,
838
+ "learning_rate": 2.0644444444444447e-05,
839
+ "loss": 0.0916,
840
+ "step": 19500
841
+ },
842
+ {
843
+ "epoch": 60.0,
844
+ "eval_loss": 0.20601221919059753,
845
+ "eval_runtime": 1.6198,
846
+ "eval_samples_per_second": 308.675,
847
+ "eval_steps_per_second": 38.893,
848
+ "step": 19500
849
+ },
850
+ {
851
+ "epoch": 61.0,
852
+ "learning_rate": 2.012857142857143e-05,
853
+ "loss": 0.0913,
854
+ "step": 19825
855
+ },
856
+ {
857
+ "epoch": 61.0,
858
+ "eval_loss": 0.20910584926605225,
859
+ "eval_runtime": 1.6185,
860
+ "eval_samples_per_second": 308.926,
861
+ "eval_steps_per_second": 38.925,
862
+ "step": 19825
863
+ },
864
+ {
865
+ "epoch": 62.0,
866
+ "learning_rate": 1.9612698412698413e-05,
867
+ "loss": 0.091,
868
+ "step": 20150
869
+ },
870
+ {
871
+ "epoch": 62.0,
872
+ "eval_loss": 0.20686961710453033,
873
+ "eval_runtime": 1.6312,
874
+ "eval_samples_per_second": 306.52,
875
+ "eval_steps_per_second": 38.621,
876
+ "step": 20150
877
+ },
878
+ {
879
+ "epoch": 63.0,
880
+ "learning_rate": 1.90968253968254e-05,
881
+ "loss": 0.0907,
882
+ "step": 20475
883
+ },
884
+ {
885
+ "epoch": 63.0,
886
+ "eval_loss": 0.20606577396392822,
887
+ "eval_runtime": 1.6309,
888
+ "eval_samples_per_second": 306.575,
889
+ "eval_steps_per_second": 38.628,
890
+ "step": 20475
891
+ },
892
+ {
893
+ "epoch": 64.0,
894
+ "learning_rate": 1.8580952380952383e-05,
895
+ "loss": 0.0905,
896
+ "step": 20800
897
+ },
898
+ {
899
+ "epoch": 64.0,
900
+ "eval_loss": 0.20628054440021515,
901
+ "eval_runtime": 1.6321,
902
+ "eval_samples_per_second": 306.359,
903
+ "eval_steps_per_second": 38.601,
904
+ "step": 20800
905
+ },
906
+ {
907
+ "epoch": 65.0,
908
+ "learning_rate": 1.8065079365079366e-05,
909
+ "loss": 0.09,
910
+ "step": 21125
911
+ },
912
+ {
913
+ "epoch": 65.0,
914
+ "eval_loss": 0.2085714489221573,
915
+ "eval_runtime": 1.615,
916
+ "eval_samples_per_second": 309.598,
917
+ "eval_steps_per_second": 39.009,
918
+ "step": 21125
919
+ },
920
+ {
921
+ "epoch": 66.0,
922
+ "learning_rate": 1.7549206349206352e-05,
923
+ "loss": 0.0899,
924
+ "step": 21450
925
+ },
926
+ {
927
+ "epoch": 66.0,
928
+ "eval_loss": 0.20817407965660095,
929
+ "eval_runtime": 1.6322,
930
+ "eval_samples_per_second": 306.34,
931
+ "eval_steps_per_second": 38.599,
932
+ "step": 21450
933
+ },
934
+ {
935
+ "epoch": 67.0,
936
+ "learning_rate": 1.7033333333333335e-05,
937
+ "loss": 0.0897,
938
+ "step": 21775
939
+ },
940
+ {
941
+ "epoch": 67.0,
942
+ "eval_loss": 0.20880760252475739,
943
+ "eval_runtime": 1.6231,
944
+ "eval_samples_per_second": 308.059,
945
+ "eval_steps_per_second": 38.815,
946
+ "step": 21775
947
+ },
948
+ {
949
+ "epoch": 68.0,
950
+ "learning_rate": 1.6517460317460318e-05,
951
+ "loss": 0.0892,
952
+ "step": 22100
953
+ },
954
+ {
955
+ "epoch": 68.0,
956
+ "eval_loss": 0.20673272013664246,
957
+ "eval_runtime": 1.6194,
958
+ "eval_samples_per_second": 308.75,
959
+ "eval_steps_per_second": 38.902,
960
+ "step": 22100
961
+ },
962
+ {
963
+ "epoch": 69.0,
964
+ "learning_rate": 1.6001587301587305e-05,
965
+ "loss": 0.0891,
966
+ "step": 22425
967
+ },
968
+ {
969
+ "epoch": 69.0,
970
+ "eval_loss": 0.20683825016021729,
971
+ "eval_runtime": 1.5781,
972
+ "eval_samples_per_second": 316.838,
973
+ "eval_steps_per_second": 39.922,
974
+ "step": 22425
975
+ },
976
+ {
977
+ "epoch": 70.0,
978
+ "learning_rate": 1.5485714285714287e-05,
979
+ "loss": 0.0888,
980
+ "step": 22750
981
+ },
982
+ {
983
+ "epoch": 70.0,
984
+ "eval_loss": 0.20834441483020782,
985
+ "eval_runtime": 1.6043,
986
+ "eval_samples_per_second": 311.654,
987
+ "eval_steps_per_second": 39.268,
988
+ "step": 22750
989
+ },
990
+ {
991
+ "epoch": 71.0,
992
+ "learning_rate": 1.496984126984127e-05,
993
+ "loss": 0.0886,
994
+ "step": 23075
995
+ },
996
+ {
997
+ "epoch": 71.0,
998
+ "eval_loss": 0.20795977115631104,
999
+ "eval_runtime": 1.5947,
1000
+ "eval_samples_per_second": 313.545,
1001
+ "eval_steps_per_second": 39.507,
1002
+ "step": 23075
1003
+ },
1004
+ {
1005
+ "epoch": 72.0,
1006
+ "learning_rate": 1.4453968253968255e-05,
1007
+ "loss": 0.0884,
1008
+ "step": 23400
1009
+ },
1010
+ {
1011
+ "epoch": 72.0,
1012
+ "eval_loss": 0.20644958317279816,
1013
+ "eval_runtime": 1.6293,
1014
+ "eval_samples_per_second": 306.871,
1015
+ "eval_steps_per_second": 38.666,
1016
+ "step": 23400
1017
+ },
1018
+ {
1019
+ "epoch": 73.0,
1020
+ "learning_rate": 1.3938095238095238e-05,
1021
+ "loss": 0.0881,
1022
+ "step": 23725
1023
+ },
1024
+ {
1025
+ "epoch": 73.0,
1026
+ "eval_loss": 0.20805425941944122,
1027
+ "eval_runtime": 1.6284,
1028
+ "eval_samples_per_second": 307.046,
1029
+ "eval_steps_per_second": 38.688,
1030
+ "step": 23725
1031
+ },
1032
+ {
1033
+ "epoch": 74.0,
1034
+ "learning_rate": 1.3422222222222223e-05,
1035
+ "loss": 0.0878,
1036
+ "step": 24050
1037
+ },
1038
+ {
1039
+ "epoch": 74.0,
1040
+ "eval_loss": 0.20709100365638733,
1041
+ "eval_runtime": 1.6294,
1042
+ "eval_samples_per_second": 306.866,
1043
+ "eval_steps_per_second": 38.665,
1044
+ "step": 24050
1045
+ },
1046
+ {
1047
+ "epoch": 75.0,
1048
+ "learning_rate": 1.2906349206349208e-05,
1049
+ "loss": 0.0875,
1050
+ "step": 24375
1051
+ },
1052
+ {
1053
+ "epoch": 75.0,
1054
+ "eval_loss": 0.2094418704509735,
1055
+ "eval_runtime": 1.6183,
1056
+ "eval_samples_per_second": 308.957,
1057
+ "eval_steps_per_second": 38.929,
1058
+ "step": 24375
1059
+ },
1060
+ {
1061
+ "epoch": 76.0,
1062
+ "learning_rate": 1.239047619047619e-05,
1063
+ "loss": 0.0875,
1064
+ "step": 24700
1065
+ },
1066
+ {
1067
+ "epoch": 76.0,
1068
+ "eval_loss": 0.2107103168964386,
1069
+ "eval_runtime": 1.628,
1070
+ "eval_samples_per_second": 307.132,
1071
+ "eval_steps_per_second": 38.699,
1072
+ "step": 24700
1073
+ },
1074
+ {
1075
+ "epoch": 77.0,
1076
+ "learning_rate": 1.1874603174603175e-05,
1077
+ "loss": 0.0871,
1078
+ "step": 25025
1079
+ },
1080
+ {
1081
+ "epoch": 77.0,
1082
+ "eval_loss": 0.21094562113285065,
1083
+ "eval_runtime": 1.6329,
1084
+ "eval_samples_per_second": 306.207,
1085
+ "eval_steps_per_second": 38.582,
1086
+ "step": 25025
1087
+ },
1088
+ {
1089
+ "epoch": 78.0,
1090
+ "learning_rate": 1.1358730158730158e-05,
1091
+ "loss": 0.087,
1092
+ "step": 25350
1093
+ },
1094
+ {
1095
+ "epoch": 78.0,
1096
+ "eval_loss": 0.21239960193634033,
1097
+ "eval_runtime": 1.6224,
1098
+ "eval_samples_per_second": 308.182,
1099
+ "eval_steps_per_second": 38.831,
1100
+ "step": 25350
1101
+ },
1102
+ {
1103
+ "epoch": 79.0,
1104
+ "learning_rate": 1.0842857142857143e-05,
1105
+ "loss": 0.0868,
1106
+ "step": 25675
1107
+ },
1108
+ {
1109
+ "epoch": 79.0,
1110
+ "eval_loss": 0.21309518814086914,
1111
+ "eval_runtime": 1.6334,
1112
+ "eval_samples_per_second": 306.113,
1113
+ "eval_steps_per_second": 38.57,
1114
+ "step": 25675
1115
+ },
1116
+ {
1117
+ "epoch": 80.0,
1118
+ "learning_rate": 1.0326984126984128e-05,
1119
+ "loss": 0.0867,
1120
+ "step": 26000
1121
+ },
1122
+ {
1123
+ "epoch": 80.0,
1124
+ "eval_loss": 0.21296508610248566,
1125
+ "eval_runtime": 1.6313,
1126
+ "eval_samples_per_second": 306.503,
1127
+ "eval_steps_per_second": 38.619,
1128
+ "step": 26000
1129
+ },
1130
+ {
1131
+ "epoch": 81.0,
1132
+ "learning_rate": 9.81111111111111e-06,
1133
+ "loss": 0.0864,
1134
+ "step": 26325
1135
+ },
1136
+ {
1137
+ "epoch": 81.0,
1138
+ "eval_loss": 0.2111913114786148,
1139
+ "eval_runtime": 1.63,
1140
+ "eval_samples_per_second": 306.746,
1141
+ "eval_steps_per_second": 38.65,
1142
+ "step": 26325
1143
+ },
1144
+ {
1145
+ "epoch": 82.0,
1146
+ "learning_rate": 9.295238095238095e-06,
1147
+ "loss": 0.0863,
1148
+ "step": 26650
1149
+ },
1150
+ {
1151
+ "epoch": 82.0,
1152
+ "eval_loss": 0.21297475695610046,
1153
+ "eval_runtime": 1.6157,
1154
+ "eval_samples_per_second": 309.46,
1155
+ "eval_steps_per_second": 38.992,
1156
+ "step": 26650
1157
+ },
1158
+ {
1159
+ "epoch": 83.0,
1160
+ "learning_rate": 8.780952380952382e-06,
1161
+ "loss": 0.086,
1162
+ "step": 26975
1163
+ },
1164
+ {
1165
+ "epoch": 83.0,
1166
+ "eval_loss": 0.21185711026191711,
1167
+ "eval_runtime": 1.6153,
1168
+ "eval_samples_per_second": 309.538,
1169
+ "eval_steps_per_second": 39.002,
1170
+ "step": 26975
1171
+ },
1172
+ {
1173
+ "epoch": 84.0,
1174
+ "learning_rate": 8.265079365079366e-06,
1175
+ "loss": 0.0858,
1176
+ "step": 27300
1177
+ },
1178
+ {
1179
+ "epoch": 84.0,
1180
+ "eval_loss": 0.2126666158437729,
1181
+ "eval_runtime": 1.6047,
1182
+ "eval_samples_per_second": 311.576,
1183
+ "eval_steps_per_second": 39.259,
1184
+ "step": 27300
1185
+ },
1186
+ {
1187
+ "epoch": 85.0,
1188
+ "learning_rate": 7.74920634920635e-06,
1189
+ "loss": 0.0856,
1190
+ "step": 27625
1191
+ },
1192
+ {
1193
+ "epoch": 85.0,
1194
+ "eval_loss": 0.21050776541233063,
1195
+ "eval_runtime": 1.6118,
1196
+ "eval_samples_per_second": 310.205,
1197
+ "eval_steps_per_second": 39.086,
1198
+ "step": 27625
1199
+ },
1200
+ {
1201
+ "epoch": 86.0,
1202
+ "learning_rate": 7.233333333333333e-06,
1203
+ "loss": 0.0854,
1204
+ "step": 27950
1205
+ },
1206
+ {
1207
+ "epoch": 86.0,
1208
+ "eval_loss": 0.21171194314956665,
1209
+ "eval_runtime": 1.6187,
1210
+ "eval_samples_per_second": 308.884,
1211
+ "eval_steps_per_second": 38.919,
1212
+ "step": 27950
1213
+ },
1214
+ {
1215
+ "epoch": 87.0,
1216
+ "learning_rate": 6.717460317460318e-06,
1217
+ "loss": 0.0853,
1218
+ "step": 28275
1219
+ },
1220
+ {
1221
+ "epoch": 87.0,
1222
+ "eval_loss": 0.21184836328029633,
1223
+ "eval_runtime": 1.6069,
1224
+ "eval_samples_per_second": 311.153,
1225
+ "eval_steps_per_second": 39.205,
1226
+ "step": 28275
1227
+ },
1228
+ {
1229
+ "epoch": 88.0,
1230
+ "learning_rate": 6.201587301587302e-06,
1231
+ "loss": 0.085,
1232
+ "step": 28600
1233
+ },
1234
+ {
1235
+ "epoch": 88.0,
1236
+ "eval_loss": 0.21248288452625275,
1237
+ "eval_runtime": 1.6139,
1238
+ "eval_samples_per_second": 309.805,
1239
+ "eval_steps_per_second": 39.035,
1240
+ "step": 28600
1241
+ },
1242
+ {
1243
+ "epoch": 89.0,
1244
+ "learning_rate": 5.685714285714286e-06,
1245
+ "loss": 0.0848,
1246
+ "step": 28925
1247
+ },
1248
+ {
1249
+ "epoch": 89.0,
1250
+ "eval_loss": 0.21106228232383728,
1251
+ "eval_runtime": 1.631,
1252
+ "eval_samples_per_second": 306.568,
1253
+ "eval_steps_per_second": 38.628,
1254
+ "step": 28925
1255
+ },
1256
+ {
1257
+ "epoch": 90.0,
1258
+ "learning_rate": 5.16984126984127e-06,
1259
+ "loss": 0.0847,
1260
+ "step": 29250
1261
+ },
1262
+ {
1263
+ "epoch": 90.0,
1264
+ "eval_loss": 0.21153707802295685,
1265
+ "eval_runtime": 1.6322,
1266
+ "eval_samples_per_second": 306.329,
1267
+ "eval_steps_per_second": 38.598,
1268
+ "step": 29250
1269
+ },
1270
+ {
1271
+ "epoch": 91.0,
1272
+ "learning_rate": 4.655555555555556e-06,
1273
+ "loss": 0.0845,
1274
+ "step": 29575
1275
+ },
1276
+ {
1277
+ "epoch": 91.0,
1278
+ "eval_loss": 0.2115468680858612,
1279
+ "eval_runtime": 1.6278,
1280
+ "eval_samples_per_second": 307.165,
1281
+ "eval_steps_per_second": 38.703,
1282
+ "step": 29575
1283
+ },
1284
+ {
1285
+ "epoch": 92.0,
1286
+ "learning_rate": 4.13968253968254e-06,
1287
+ "loss": 0.0844,
1288
+ "step": 29900
1289
+ },
1290
+ {
1291
+ "epoch": 92.0,
1292
+ "eval_loss": 0.21205155551433563,
1293
+ "eval_runtime": 1.6299,
1294
+ "eval_samples_per_second": 306.762,
1295
+ "eval_steps_per_second": 38.652,
1296
+ "step": 29900
1297
+ },
1298
+ {
1299
+ "epoch": 93.0,
1300
+ "learning_rate": 3.6238095238095236e-06,
1301
+ "loss": 0.0842,
1302
+ "step": 30225
1303
+ },
1304
+ {
1305
+ "epoch": 93.0,
1306
+ "eval_loss": 0.21224457025527954,
1307
+ "eval_runtime": 1.6302,
1308
+ "eval_samples_per_second": 306.709,
1309
+ "eval_steps_per_second": 38.645,
1310
+ "step": 30225
1311
+ },
1312
+ {
1313
+ "epoch": 94.0,
1314
+ "learning_rate": 3.107936507936508e-06,
1315
+ "loss": 0.0839,
1316
+ "step": 30550
1317
+ },
1318
+ {
1319
+ "epoch": 94.0,
1320
+ "eval_loss": 0.21223796904087067,
1321
+ "eval_runtime": 1.6205,
1322
+ "eval_samples_per_second": 308.552,
1323
+ "eval_steps_per_second": 38.878,
1324
+ "step": 30550
1325
+ },
1326
+ {
1327
+ "epoch": 95.0,
1328
+ "learning_rate": 2.592063492063492e-06,
1329
+ "loss": 0.0839,
1330
+ "step": 30875
1331
+ },
1332
+ {
1333
+ "epoch": 95.0,
1334
+ "eval_loss": 0.2121766060590744,
1335
+ "eval_runtime": 1.626,
1336
+ "eval_samples_per_second": 307.496,
1337
+ "eval_steps_per_second": 38.745,
1338
+ "step": 30875
1339
+ },
1340
+ {
1341
+ "epoch": 96.0,
1342
+ "learning_rate": 2.0761904761904764e-06,
1343
+ "loss": 0.0836,
1344
+ "step": 31200
1345
+ },
1346
+ {
1347
+ "epoch": 96.0,
1348
+ "eval_loss": 0.21236176788806915,
1349
+ "eval_runtime": 1.6277,
1350
+ "eval_samples_per_second": 307.178,
1351
+ "eval_steps_per_second": 38.704,
1352
+ "step": 31200
1353
+ },
1354
+ {
1355
+ "epoch": 97.0,
1356
+ "learning_rate": 1.561904761904762e-06,
1357
+ "loss": 0.0836,
1358
+ "step": 31525
1359
+ },
1360
+ {
1361
+ "epoch": 97.0,
1362
+ "eval_loss": 0.21288882195949554,
1363
+ "eval_runtime": 1.6293,
1364
+ "eval_samples_per_second": 306.882,
1365
+ "eval_steps_per_second": 38.667,
1366
+ "step": 31525
1367
+ },
1368
+ {
1369
+ "epoch": 98.0,
1370
+ "learning_rate": 1.046031746031746e-06,
1371
+ "loss": 0.0834,
1372
+ "step": 31850
1373
+ },
1374
+ {
1375
+ "epoch": 98.0,
1376
+ "eval_loss": 0.21266008913516998,
1377
+ "eval_runtime": 1.6301,
1378
+ "eval_samples_per_second": 306.725,
1379
+ "eval_steps_per_second": 38.647,
1380
+ "step": 31850
1381
+ },
1382
+ {
1383
+ "epoch": 99.0,
1384
+ "learning_rate": 5.301587301587302e-07,
1385
+ "loss": 0.0833,
1386
+ "step": 32175
1387
+ },
1388
+ {
1389
+ "epoch": 99.0,
1390
+ "eval_loss": 0.2126527726650238,
1391
+ "eval_runtime": 1.6305,
1392
+ "eval_samples_per_second": 306.648,
1393
+ "eval_steps_per_second": 38.638,
1394
+ "step": 32175
1395
+ },
1396
+ {
1397
+ "epoch": 100.0,
1398
+ "learning_rate": 1.4285714285714288e-08,
1399
+ "loss": 0.0831,
1400
+ "step": 32500
1401
+ },
1402
+ {
1403
+ "epoch": 100.0,
1404
+ "eval_loss": 0.21250146627426147,
1405
+ "eval_runtime": 1.6061,
1406
+ "eval_samples_per_second": 311.323,
1407
+ "eval_steps_per_second": 39.227,
1408
+ "step": 32500
1409
+ }
1410
+ ],
1411
+ "max_steps": 32500,
1412
+ "num_train_epochs": 100,
1413
+ "total_flos": 3.044459658533238e+17,
1414
+ "trial_name": null,
1415
+ "trial_params": null
1416
+ }
pattern_generator/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f6e909803e233d3dbb73e34058a5cab80b5f7283540c7514fac596bafa43df7
3
+ size 3183
pattern_generator/vocab.json ADDED
The diff for this file is too large to render. See raw diff