Spaces:
Build error
Build error
add pattern generator
Browse files- pattern_generator/config.json +172 -0
- pattern_generator/merges.txt +0 -0
- pattern_generator/optimizer.pt +3 -0
- pattern_generator/pytorch_model.bin +3 -0
- pattern_generator/rng_state.pth +3 -0
- pattern_generator/scaler.pt +3 -0
- pattern_generator/scheduler.pt +3 -0
- pattern_generator/special_tokens_map.json +1 -0
- pattern_generator/tokenizer_config.json +1 -0
- pattern_generator/trainer_state.json +1416 -0
- pattern_generator/training_args.bin +3 -0
- pattern_generator/vocab.json +0 -0
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
|
|