Upload 11 files
Browse files- config.json +181 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +9 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- trainer_state.json +411 -0
- training_args.zip +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,181 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"EncoderDecoderModel"
|
4 |
+
],
|
5 |
+
"decoder": {
|
6 |
+
"_name_or_path": "bert-base-uncased",
|
7 |
+
"add_cross_attention": true,
|
8 |
+
"architectures": [
|
9 |
+
"BertForMaskedLM"
|
10 |
+
],
|
11 |
+
"attention_probs_dropout_prob": 0.1,
|
12 |
+
"bad_words_ids": null,
|
13 |
+
"begin_suppress_tokens": null,
|
14 |
+
"bos_token_id": null,
|
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": null,
|
24 |
+
"exponential_decay_length_penalty": null,
|
25 |
+
"finetuning_task": null,
|
26 |
+
"forced_bos_token_id": null,
|
27 |
+
"forced_eos_token_id": null,
|
28 |
+
"gradient_checkpointing": false,
|
29 |
+
"hidden_act": "gelu",
|
30 |
+
"hidden_dropout_prob": 0.1,
|
31 |
+
"hidden_size": 768,
|
32 |
+
"id2label": {
|
33 |
+
"0": "LABEL_0",
|
34 |
+
"1": "LABEL_1"
|
35 |
+
},
|
36 |
+
"initializer_range": 0.02,
|
37 |
+
"intermediate_size": 3072,
|
38 |
+
"is_decoder": true,
|
39 |
+
"is_encoder_decoder": false,
|
40 |
+
"label2id": {
|
41 |
+
"LABEL_0": 0,
|
42 |
+
"LABEL_1": 1
|
43 |
+
},
|
44 |
+
"layer_norm_eps": 1e-12,
|
45 |
+
"length_penalty": 1.0,
|
46 |
+
"max_length": 20,
|
47 |
+
"max_position_embeddings": 512,
|
48 |
+
"min_length": 0,
|
49 |
+
"model_type": "bert",
|
50 |
+
"no_repeat_ngram_size": 0,
|
51 |
+
"num_attention_heads": 12,
|
52 |
+
"num_beam_groups": 1,
|
53 |
+
"num_beams": 1,
|
54 |
+
"num_hidden_layers": 12,
|
55 |
+
"num_return_sequences": 1,
|
56 |
+
"output_attentions": false,
|
57 |
+
"output_hidden_states": false,
|
58 |
+
"output_scores": false,
|
59 |
+
"pad_token_id": 0,
|
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 |
+
"suppress_tokens": null,
|
70 |
+
"task_specific_params": null,
|
71 |
+
"temperature": 1.0,
|
72 |
+
"tf_legacy_loss": false,
|
73 |
+
"tie_encoder_decoder": false,
|
74 |
+
"tie_word_embeddings": true,
|
75 |
+
"tokenizer_class": null,
|
76 |
+
"top_k": 50,
|
77 |
+
"top_p": 1.0,
|
78 |
+
"torch_dtype": null,
|
79 |
+
"torchscript": false,
|
80 |
+
"type_vocab_size": 2,
|
81 |
+
"typical_p": 1.0,
|
82 |
+
"use_bfloat16": false,
|
83 |
+
"use_cache": true,
|
84 |
+
"vocab_size": 30522
|
85 |
+
},
|
86 |
+
"decoder_start_token_id": 101,
|
87 |
+
"early_stopping": true,
|
88 |
+
"encoder": {
|
89 |
+
"_name_or_path": "bert-base-uncased",
|
90 |
+
"add_cross_attention": false,
|
91 |
+
"architectures": [
|
92 |
+
"BertForMaskedLM"
|
93 |
+
],
|
94 |
+
"attention_probs_dropout_prob": 0.1,
|
95 |
+
"bad_words_ids": null,
|
96 |
+
"begin_suppress_tokens": null,
|
97 |
+
"bos_token_id": null,
|
98 |
+
"chunk_size_feed_forward": 0,
|
99 |
+
"classifier_dropout": null,
|
100 |
+
"cross_attention_hidden_size": null,
|
101 |
+
"decoder_start_token_id": null,
|
102 |
+
"diversity_penalty": 0.0,
|
103 |
+
"do_sample": false,
|
104 |
+
"early_stopping": false,
|
105 |
+
"encoder_no_repeat_ngram_size": 0,
|
106 |
+
"eos_token_id": null,
|
107 |
+
"exponential_decay_length_penalty": null,
|
108 |
+
"finetuning_task": null,
|
109 |
+
"forced_bos_token_id": null,
|
110 |
+
"forced_eos_token_id": null,
|
111 |
+
"gradient_checkpointing": false,
|
112 |
+
"hidden_act": "gelu",
|
113 |
+
"hidden_dropout_prob": 0.1,
|
114 |
+
"hidden_size": 768,
|
115 |
+
"id2label": {
|
116 |
+
"0": "LABEL_0",
|
117 |
+
"1": "LABEL_1"
|
118 |
+
},
|
119 |
+
"initializer_range": 0.02,
|
120 |
+
"intermediate_size": 3072,
|
121 |
+
"is_decoder": false,
|
122 |
+
"is_encoder_decoder": false,
|
123 |
+
"label2id": {
|
124 |
+
"LABEL_0": 0,
|
125 |
+
"LABEL_1": 1
|
126 |
+
},
|
127 |
+
"layer_norm_eps": 1e-12,
|
128 |
+
"length_penalty": 1.0,
|
129 |
+
"max_length": 20,
|
130 |
+
"max_position_embeddings": 512,
|
131 |
+
"min_length": 0,
|
132 |
+
"model_type": "bert",
|
133 |
+
"no_repeat_ngram_size": 0,
|
134 |
+
"num_attention_heads": 12,
|
135 |
+
"num_beam_groups": 1,
|
136 |
+
"num_beams": 1,
|
137 |
+
"num_hidden_layers": 12,
|
138 |
+
"num_return_sequences": 1,
|
139 |
+
"output_attentions": false,
|
140 |
+
"output_hidden_states": false,
|
141 |
+
"output_scores": false,
|
142 |
+
"pad_token_id": 0,
|
143 |
+
"position_embedding_type": "absolute",
|
144 |
+
"prefix": null,
|
145 |
+
"problem_type": null,
|
146 |
+
"pruned_heads": {},
|
147 |
+
"remove_invalid_values": false,
|
148 |
+
"repetition_penalty": 1.0,
|
149 |
+
"return_dict": true,
|
150 |
+
"return_dict_in_generate": false,
|
151 |
+
"sep_token_id": null,
|
152 |
+
"suppress_tokens": null,
|
153 |
+
"task_specific_params": null,
|
154 |
+
"temperature": 1.0,
|
155 |
+
"tf_legacy_loss": false,
|
156 |
+
"tie_encoder_decoder": false,
|
157 |
+
"tie_word_embeddings": true,
|
158 |
+
"tokenizer_class": null,
|
159 |
+
"top_k": 50,
|
160 |
+
"top_p": 1.0,
|
161 |
+
"torch_dtype": null,
|
162 |
+
"torchscript": false,
|
163 |
+
"type_vocab_size": 2,
|
164 |
+
"typical_p": 1.0,
|
165 |
+
"use_bfloat16": false,
|
166 |
+
"use_cache": true,
|
167 |
+
"vocab_size": 30522
|
168 |
+
},
|
169 |
+
"eos_token_id": 102,
|
170 |
+
"is_encoder_decoder": true,
|
171 |
+
"length_penalty": 2.0,
|
172 |
+
"max_length": 142,
|
173 |
+
"min_length": 56,
|
174 |
+
"model_type": "encoder-decoder",
|
175 |
+
"no_repeat_ngram_size": 3,
|
176 |
+
"num_beams": 4,
|
177 |
+
"pad_token_id": 0,
|
178 |
+
"torch_dtype": "float32",
|
179 |
+
"transformers_version": "4.38.2",
|
180 |
+
"vocab_size": 30522
|
181 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3e9eb56caa5001a28d4b6d48912ea7e6e45aff6559315cdcde1613956c49b8e2
|
3 |
+
size 989518784
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b24330d9571d48ff23ba30fd1fb550cd595deed8259bded8c87e9448f507d8af
|
3 |
+
size 1974617319
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:15f60c92c82ace75f022db2fcaefed23804367bf564765981a6734aeaa60a012
|
3 |
+
size 14244
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:af75a50b66ed3783cb8d2e61914b50457b4ec826ed0f99042112e891be5ca245
|
3 |
+
size 1064
|
special_tokens_map.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "[CLS]",
|
3 |
+
"cls_token": "[CLS]",
|
4 |
+
"eos_token": "[SEP]",
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"pad_token": "[PAD]",
|
7 |
+
"sep_token": "[SEP]",
|
8 |
+
"unk_token": "[UNK]"
|
9 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "[PAD]",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"100": {
|
12 |
+
"content": "[UNK]",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"101": {
|
20 |
+
"content": "[CLS]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"102": {
|
28 |
+
"content": "[SEP]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"103": {
|
36 |
+
"content": "[MASK]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "[CLS]",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "[CLS]",
|
47 |
+
"do_lower_case": true,
|
48 |
+
"eos_token": "[SEP]",
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"model_max_length": 512,
|
51 |
+
"pad_token": "[PAD]",
|
52 |
+
"sep_token": "[SEP]",
|
53 |
+
"strip_accents": null,
|
54 |
+
"tokenize_chinese_chars": true,
|
55 |
+
"tokenizer_class": "BertTokenizer",
|
56 |
+
"unk_token": "[UNK]"
|
57 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,411 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.9719890036406866,
|
5 |
+
"eval_steps": 4000,
|
6 |
+
"global_step": 40000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.07,
|
13 |
+
"grad_norm": 0.2733132243156433,
|
14 |
+
"learning_rate": 5e-05,
|
15 |
+
"loss": 0.3088,
|
16 |
+
"step": 1000
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.15,
|
20 |
+
"grad_norm": 0.011344216763973236,
|
21 |
+
"learning_rate": 4.873022322675674e-05,
|
22 |
+
"loss": 0.0012,
|
23 |
+
"step": 2000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.22,
|
27 |
+
"grad_norm": 0.002656959230080247,
|
28 |
+
"learning_rate": 4.746044645351347e-05,
|
29 |
+
"loss": 0.0001,
|
30 |
+
"step": 3000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.3,
|
34 |
+
"grad_norm": 0.0012492843670770526,
|
35 |
+
"learning_rate": 4.619066968027021e-05,
|
36 |
+
"loss": 0.0,
|
37 |
+
"step": 4000
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.3,
|
41 |
+
"eval_loss": 5.678263278241502e-06,
|
42 |
+
"eval_rouge2_fmeasure": 0.0,
|
43 |
+
"eval_rouge2_precision": 0.0,
|
44 |
+
"eval_rouge2_recall": 0.0,
|
45 |
+
"eval_runtime": 3660.3045,
|
46 |
+
"eval_samples_per_second": 2.739,
|
47 |
+
"eval_steps_per_second": 0.171,
|
48 |
+
"step": 4000
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 0.37,
|
52 |
+
"grad_norm": 0.0005404581315815449,
|
53 |
+
"learning_rate": 4.4920892907026946e-05,
|
54 |
+
"loss": 0.0009,
|
55 |
+
"step": 5000
|
56 |
+
},
|
57 |
+
{
|
58 |
+
"epoch": 0.45,
|
59 |
+
"grad_norm": 0.002274229424074292,
|
60 |
+
"learning_rate": 4.365111613378368e-05,
|
61 |
+
"loss": 0.0001,
|
62 |
+
"step": 6000
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.52,
|
66 |
+
"grad_norm": 0.001682213624008,
|
67 |
+
"learning_rate": 4.2381339360540415e-05,
|
68 |
+
"loss": 0.0001,
|
69 |
+
"step": 7000
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.59,
|
73 |
+
"grad_norm": 0.00026362488279119134,
|
74 |
+
"learning_rate": 4.1111562587297156e-05,
|
75 |
+
"loss": 0.0002,
|
76 |
+
"step": 8000
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 0.59,
|
80 |
+
"eval_loss": 2.755745526883402e-06,
|
81 |
+
"eval_rouge2_fmeasure": 0.0,
|
82 |
+
"eval_rouge2_precision": 0.0,
|
83 |
+
"eval_rouge2_recall": 0.0,
|
84 |
+
"eval_runtime": 3669.0705,
|
85 |
+
"eval_samples_per_second": 2.733,
|
86 |
+
"eval_steps_per_second": 0.171,
|
87 |
+
"step": 8000
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 0.67,
|
91 |
+
"grad_norm": 0.010094952769577503,
|
92 |
+
"learning_rate": 3.984178581405389e-05,
|
93 |
+
"loss": 0.0014,
|
94 |
+
"step": 9000
|
95 |
+
},
|
96 |
+
{
|
97 |
+
"epoch": 0.74,
|
98 |
+
"grad_norm": 0.0005482935812324286,
|
99 |
+
"learning_rate": 3.8572009040810624e-05,
|
100 |
+
"loss": 0.0001,
|
101 |
+
"step": 10000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.82,
|
105 |
+
"grad_norm": 0.00010689393093343824,
|
106 |
+
"learning_rate": 3.730223226756736e-05,
|
107 |
+
"loss": 0.0,
|
108 |
+
"step": 11000
|
109 |
+
},
|
110 |
+
{
|
111 |
+
"epoch": 0.89,
|
112 |
+
"grad_norm": 0.0003704932169057429,
|
113 |
+
"learning_rate": 3.60324554943241e-05,
|
114 |
+
"loss": 0.0006,
|
115 |
+
"step": 12000
|
116 |
+
},
|
117 |
+
{
|
118 |
+
"epoch": 0.89,
|
119 |
+
"eval_loss": 3.983559054177022e-06,
|
120 |
+
"eval_rouge2_fmeasure": 0.0,
|
121 |
+
"eval_rouge2_precision": 0.0,
|
122 |
+
"eval_rouge2_recall": 0.0,
|
123 |
+
"eval_runtime": 3661.9564,
|
124 |
+
"eval_samples_per_second": 2.738,
|
125 |
+
"eval_steps_per_second": 0.171,
|
126 |
+
"step": 12000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.97,
|
130 |
+
"grad_norm": 0.00011691737017827109,
|
131 |
+
"learning_rate": 3.476267872108084e-05,
|
132 |
+
"loss": 0.0,
|
133 |
+
"step": 13000
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 1.04,
|
137 |
+
"grad_norm": 8.349567360710353e-05,
|
138 |
+
"learning_rate": 3.3492901947837574e-05,
|
139 |
+
"loss": 0.0001,
|
140 |
+
"step": 14000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.11,
|
144 |
+
"grad_norm": 0.0001232757931575179,
|
145 |
+
"learning_rate": 3.222312517459431e-05,
|
146 |
+
"loss": 0.0001,
|
147 |
+
"step": 15000
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 1.19,
|
151 |
+
"grad_norm": 0.00011773507139878348,
|
152 |
+
"learning_rate": 3.095334840135104e-05,
|
153 |
+
"loss": 0.0,
|
154 |
+
"step": 16000
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 1.19,
|
158 |
+
"eval_loss": 1.058370685314003e-06,
|
159 |
+
"eval_rouge2_fmeasure": 0.0,
|
160 |
+
"eval_rouge2_precision": 0.0,
|
161 |
+
"eval_rouge2_recall": 0.0,
|
162 |
+
"eval_runtime": 3660.4191,
|
163 |
+
"eval_samples_per_second": 2.739,
|
164 |
+
"eval_steps_per_second": 0.171,
|
165 |
+
"step": 16000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 1.26,
|
169 |
+
"grad_norm": 0.0022140583023428917,
|
170 |
+
"learning_rate": 2.968357162810778e-05,
|
171 |
+
"loss": 0.0,
|
172 |
+
"step": 17000
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 1.34,
|
176 |
+
"grad_norm": 3.650138387456536e-05,
|
177 |
+
"learning_rate": 2.8413794854864518e-05,
|
178 |
+
"loss": 0.0,
|
179 |
+
"step": 18000
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 1.41,
|
183 |
+
"grad_norm": 0.010362447239458561,
|
184 |
+
"learning_rate": 2.7144018081621252e-05,
|
185 |
+
"loss": 0.0001,
|
186 |
+
"step": 19000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 1.49,
|
190 |
+
"grad_norm": 0.005041338969022036,
|
191 |
+
"learning_rate": 2.587424130837799e-05,
|
192 |
+
"loss": 0.0001,
|
193 |
+
"step": 20000
|
194 |
+
},
|
195 |
+
{
|
196 |
+
"epoch": 1.49,
|
197 |
+
"eval_loss": 6.733321242791135e-06,
|
198 |
+
"eval_rouge2_fmeasure": 0.0,
|
199 |
+
"eval_rouge2_precision": 0.0,
|
200 |
+
"eval_rouge2_recall": 0.0,
|
201 |
+
"eval_runtime": 3656.0835,
|
202 |
+
"eval_samples_per_second": 2.742,
|
203 |
+
"eval_steps_per_second": 0.171,
|
204 |
+
"step": 20000
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.56,
|
208 |
+
"grad_norm": 6.371775089064613e-05,
|
209 |
+
"learning_rate": 2.4604464535134724e-05,
|
210 |
+
"loss": 0.0,
|
211 |
+
"step": 21000
|
212 |
+
},
|
213 |
+
{
|
214 |
+
"epoch": 1.63,
|
215 |
+
"grad_norm": 0.0006053569377399981,
|
216 |
+
"learning_rate": 2.3334687761891462e-05,
|
217 |
+
"loss": 0.0001,
|
218 |
+
"step": 22000
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.71,
|
222 |
+
"grad_norm": 0.0021953503601253033,
|
223 |
+
"learning_rate": 2.2064910988648196e-05,
|
224 |
+
"loss": 0.0,
|
225 |
+
"step": 23000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 1.78,
|
229 |
+
"grad_norm": 2.853705154848285e-05,
|
230 |
+
"learning_rate": 2.0795134215404934e-05,
|
231 |
+
"loss": 0.0,
|
232 |
+
"step": 24000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 1.78,
|
236 |
+
"eval_loss": 4.6661673991366115e-07,
|
237 |
+
"eval_rouge2_fmeasure": 0.0,
|
238 |
+
"eval_rouge2_precision": 0.0,
|
239 |
+
"eval_rouge2_recall": 0.0,
|
240 |
+
"eval_runtime": 3661.0043,
|
241 |
+
"eval_samples_per_second": 2.739,
|
242 |
+
"eval_steps_per_second": 0.171,
|
243 |
+
"step": 24000
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 1.86,
|
247 |
+
"grad_norm": 6.040197695256211e-05,
|
248 |
+
"learning_rate": 1.9525357442161668e-05,
|
249 |
+
"loss": 0.0,
|
250 |
+
"step": 25000
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 1.93,
|
254 |
+
"grad_norm": 0.00013890626723878086,
|
255 |
+
"learning_rate": 1.8255580668918406e-05,
|
256 |
+
"loss": 0.0,
|
257 |
+
"step": 26000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 2.01,
|
261 |
+
"grad_norm": 2.3448434149031527e-05,
|
262 |
+
"learning_rate": 1.698580389567514e-05,
|
263 |
+
"loss": 0.0,
|
264 |
+
"step": 27000
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 2.08,
|
268 |
+
"grad_norm": 0.00018542050383985043,
|
269 |
+
"learning_rate": 1.5716027122431877e-05,
|
270 |
+
"loss": 0.0,
|
271 |
+
"step": 28000
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 2.08,
|
275 |
+
"eval_loss": 1.1049346539948601e-06,
|
276 |
+
"eval_rouge2_fmeasure": 0.0001,
|
277 |
+
"eval_rouge2_precision": 0.0,
|
278 |
+
"eval_rouge2_recall": 0.0001,
|
279 |
+
"eval_runtime": 3659.7337,
|
280 |
+
"eval_samples_per_second": 2.74,
|
281 |
+
"eval_steps_per_second": 0.171,
|
282 |
+
"step": 28000
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 2.15,
|
286 |
+
"grad_norm": 1.2732043614960276e-05,
|
287 |
+
"learning_rate": 1.4446250349188615e-05,
|
288 |
+
"loss": 0.0,
|
289 |
+
"step": 29000
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 2.23,
|
293 |
+
"grad_norm": 1.618100213818252e-05,
|
294 |
+
"learning_rate": 1.317647357594535e-05,
|
295 |
+
"loss": 0.0,
|
296 |
+
"step": 30000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.3,
|
300 |
+
"grad_norm": 5.8585923397913575e-05,
|
301 |
+
"learning_rate": 1.1906696802702085e-05,
|
302 |
+
"loss": 0.0,
|
303 |
+
"step": 31000
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 2.38,
|
307 |
+
"grad_norm": 0.00015024282038211823,
|
308 |
+
"learning_rate": 1.0636920029458821e-05,
|
309 |
+
"loss": 0.0004,
|
310 |
+
"step": 32000
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 2.38,
|
314 |
+
"eval_loss": 1.2435020835255273e-06,
|
315 |
+
"eval_rouge2_fmeasure": 0.0,
|
316 |
+
"eval_rouge2_precision": 0.0001,
|
317 |
+
"eval_rouge2_recall": 0.0,
|
318 |
+
"eval_runtime": 3675.9943,
|
319 |
+
"eval_samples_per_second": 2.727,
|
320 |
+
"eval_steps_per_second": 0.171,
|
321 |
+
"step": 32000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 2.45,
|
325 |
+
"grad_norm": 4.083578460267745e-05,
|
326 |
+
"learning_rate": 9.367143256215557e-06,
|
327 |
+
"loss": 0.0,
|
328 |
+
"step": 33000
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 2.53,
|
332 |
+
"grad_norm": 8.640537998871878e-06,
|
333 |
+
"learning_rate": 8.097366482972293e-06,
|
334 |
+
"loss": 0.0,
|
335 |
+
"step": 34000
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 2.6,
|
339 |
+
"grad_norm": 1.1439586160122417e-05,
|
340 |
+
"learning_rate": 6.8275897097290306e-06,
|
341 |
+
"loss": 0.0,
|
342 |
+
"step": 35000
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 2.67,
|
346 |
+
"grad_norm": 0.00013945900718681514,
|
347 |
+
"learning_rate": 5.557812936485766e-06,
|
348 |
+
"loss": 0.0,
|
349 |
+
"step": 36000
|
350 |
+
},
|
351 |
+
{
|
352 |
+
"epoch": 2.67,
|
353 |
+
"eval_loss": 2.3348137290213344e-07,
|
354 |
+
"eval_rouge2_fmeasure": 0.0,
|
355 |
+
"eval_rouge2_precision": 0.0,
|
356 |
+
"eval_rouge2_recall": 0.0,
|
357 |
+
"eval_runtime": 3659.0736,
|
358 |
+
"eval_samples_per_second": 2.74,
|
359 |
+
"eval_steps_per_second": 0.171,
|
360 |
+
"step": 36000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 2.75,
|
364 |
+
"grad_norm": 0.0003026222693733871,
|
365 |
+
"learning_rate": 4.288036163242502e-06,
|
366 |
+
"loss": 0.0,
|
367 |
+
"step": 37000
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 2.82,
|
371 |
+
"grad_norm": 6.744077109033242e-05,
|
372 |
+
"learning_rate": 3.018259389999238e-06,
|
373 |
+
"loss": 0.0,
|
374 |
+
"step": 38000
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 2.9,
|
378 |
+
"grad_norm": 3.917148569598794e-05,
|
379 |
+
"learning_rate": 1.7484826167559743e-06,
|
380 |
+
"loss": 0.0,
|
381 |
+
"step": 39000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 2.97,
|
385 |
+
"grad_norm": 1.1611381523835007e-05,
|
386 |
+
"learning_rate": 4.787058435127105e-07,
|
387 |
+
"loss": 0.0,
|
388 |
+
"step": 40000
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 2.97,
|
392 |
+
"eval_loss": 1.7171299759866088e-07,
|
393 |
+
"eval_rouge2_fmeasure": 0.0,
|
394 |
+
"eval_rouge2_precision": 0.0,
|
395 |
+
"eval_rouge2_recall": 0.0001,
|
396 |
+
"eval_runtime": 3666.3048,
|
397 |
+
"eval_samples_per_second": 2.735,
|
398 |
+
"eval_steps_per_second": 0.171,
|
399 |
+
"step": 40000
|
400 |
+
}
|
401 |
+
],
|
402 |
+
"logging_steps": 1000,
|
403 |
+
"max_steps": 40377,
|
404 |
+
"num_input_tokens_seen": 0,
|
405 |
+
"num_train_epochs": 3,
|
406 |
+
"save_steps": 500,
|
407 |
+
"total_flos": 3.9259958213339136e+17,
|
408 |
+
"train_batch_size": 16,
|
409 |
+
"trial_name": null,
|
410 |
+
"trial_params": null
|
411 |
+
}
|
training_args.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:59d97c90ea505a93acbba0b29c18b6071bdba0e6835c781fef31afd0c102ecac
|
3 |
+
size 4984
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|