upload checkpoint files
Browse files- config.json +70 -0
- generation_config.json +16 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- trainer_state.json +436 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "yuyang/bart-large-cnn-finetuned-newsroom",
|
3 |
+
"_num_labels": 3,
|
4 |
+
"activation_dropout": 0.0,
|
5 |
+
"activation_function": "gelu",
|
6 |
+
"add_final_layer_norm": false,
|
7 |
+
"architectures": [
|
8 |
+
"NFBart"
|
9 |
+
],
|
10 |
+
"attention_dropout": 0.0,
|
11 |
+
"bos_token_id": 0,
|
12 |
+
"classif_dropout": 0.0,
|
13 |
+
"classifier_dropout": 0.0,
|
14 |
+
"d_model": 1024,
|
15 |
+
"decoder_attention_heads": 16,
|
16 |
+
"decoder_ffn_dim": 4096,
|
17 |
+
"decoder_layerdrop": 0.0,
|
18 |
+
"decoder_layers": 12,
|
19 |
+
"decoder_start_token_id": 2,
|
20 |
+
"dropout": 0.1,
|
21 |
+
"early_stopping": true,
|
22 |
+
"encoder_attention_heads": 16,
|
23 |
+
"encoder_ffn_dim": 4096,
|
24 |
+
"encoder_layerdrop": 0.0,
|
25 |
+
"encoder_layers": 12,
|
26 |
+
"eos_token_id": 2,
|
27 |
+
"force_bos_token_to_be_generated": true,
|
28 |
+
"forced_bos_token_id": 0,
|
29 |
+
"forced_eos_token_id": 2,
|
30 |
+
"gradient_checkpointing": false,
|
31 |
+
"id2label": {
|
32 |
+
"0": "LABEL_0",
|
33 |
+
"1": "LABEL_1",
|
34 |
+
"2": "LABEL_2"
|
35 |
+
},
|
36 |
+
"init_std": 0.02,
|
37 |
+
"is_encoder_decoder": true,
|
38 |
+
"label2id": {
|
39 |
+
"LABEL_0": 0,
|
40 |
+
"LABEL_1": 1,
|
41 |
+
"LABEL_2": 2
|
42 |
+
},
|
43 |
+
"length_penalty": 2.0,
|
44 |
+
"max_length": 142,
|
45 |
+
"max_position_embeddings": 1024,
|
46 |
+
"min_length": 56,
|
47 |
+
"model_type": "bart",
|
48 |
+
"no_repeat_ngram_size": 3,
|
49 |
+
"normalize_before": false,
|
50 |
+
"num_beams": 4,
|
51 |
+
"num_hidden_layers": 12,
|
52 |
+
"output_past": true,
|
53 |
+
"pad_token_id": 1,
|
54 |
+
"prefix": " ",
|
55 |
+
"scale_embedding": false,
|
56 |
+
"task_specific_params": {
|
57 |
+
"summarization": {
|
58 |
+
"early_stopping": true,
|
59 |
+
"length_penalty": 2.0,
|
60 |
+
"max_length": 142,
|
61 |
+
"min_length": 56,
|
62 |
+
"no_repeat_ngram_size": 3,
|
63 |
+
"num_beams": 4
|
64 |
+
}
|
65 |
+
},
|
66 |
+
"torch_dtype": "float32",
|
67 |
+
"transformers_version": "4.27.1",
|
68 |
+
"use_cache": true,
|
69 |
+
"vocab_size": 50265
|
70 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 0,
|
4 |
+
"decoder_start_token_id": 2,
|
5 |
+
"early_stopping": true,
|
6 |
+
"eos_token_id": 2,
|
7 |
+
"forced_bos_token_id": 0,
|
8 |
+
"forced_eos_token_id": 2,
|
9 |
+
"length_penalty": 2.0,
|
10 |
+
"max_length": 142,
|
11 |
+
"min_length": 56,
|
12 |
+
"no_repeat_ngram_size": 3,
|
13 |
+
"num_beams": 4,
|
14 |
+
"pad_token_id": 1,
|
15 |
+
"transformers_version": "4.27.1"
|
16 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2dc78b5a8775d3396e1aa6e5fb384135b8eef8afbc44f42f1d82aea3f7f0c543
|
3 |
+
size 1660501409
|
special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": "<s>",
|
4 |
+
"cls_token": "<s>",
|
5 |
+
"eos_token": "</s>",
|
6 |
+
"errors": "replace",
|
7 |
+
"mask_token": "<mask>",
|
8 |
+
"model_max_length": 1000000000000000019884624838656,
|
9 |
+
"pad_token": "<pad>",
|
10 |
+
"sep_token": "</s>",
|
11 |
+
"special_tokens_map_file": "/home/shenx/yang6367/.cache/huggingface/hub/models--yuyang--bart-large-cnn-finetuned-newsroom/snapshots/5684014ca8aaf3e5e5604206981dca7a86f6f265/special_tokens_map.json",
|
12 |
+
"tokenizer_class": "BartTokenizer",
|
13 |
+
"trim_offsets": true,
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,436 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 5.6603827476501465,
|
3 |
+
"best_model_checkpoint": "../checkpoints/nf-bart-newsroom-rqnsf/checkpoint-60000",
|
4 |
+
"epoch": 0.9648008490247472,
|
5 |
+
"global_step": 60000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"gate_score": 0.371,
|
13 |
+
"learning_rate": 4.9725e-05,
|
14 |
+
"loss": 592.8312,
|
15 |
+
"nf_loss": 591.7519,
|
16 |
+
"ppl": 3.3519,
|
17 |
+
"step": 2000
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.06,
|
21 |
+
"gate_score": 0.2007,
|
22 |
+
"learning_rate": 4.834853544667631e-05,
|
23 |
+
"loss": 333.2925,
|
24 |
+
"nf_loss": 332.3035,
|
25 |
+
"ppl": 2.8873,
|
26 |
+
"step": 4000
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.06,
|
30 |
+
"eval_loss": 252.84817504882812,
|
31 |
+
"eval_nf_loss": 251.2677459716797,
|
32 |
+
"eval_perplexity": 6.363341331481934,
|
33 |
+
"eval_runtime": 4381.8372,
|
34 |
+
"eval_samples_per_second": 24.837,
|
35 |
+
"eval_steps_per_second": 1.552,
|
36 |
+
"step": 4000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.1,
|
40 |
+
"gate_score": 0.1135,
|
41 |
+
"learning_rate": 4.6687102294439184e-05,
|
42 |
+
"loss": 211.0105,
|
43 |
+
"nf_loss": 209.9559,
|
44 |
+
"ppl": 3.1158,
|
45 |
+
"step": 6000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.13,
|
49 |
+
"gate_score": 0.0666,
|
50 |
+
"learning_rate": 4.5025669142202066e-05,
|
51 |
+
"loss": 134.1864,
|
52 |
+
"nf_loss": 133.0995,
|
53 |
+
"ppl": 3.2307,
|
54 |
+
"step": 8000
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.13,
|
58 |
+
"eval_loss": 102.85702514648438,
|
59 |
+
"eval_nf_loss": 101.2651596069336,
|
60 |
+
"eval_perplexity": 6.448662757873535,
|
61 |
+
"eval_runtime": 4005.1516,
|
62 |
+
"eval_samples_per_second": 27.173,
|
63 |
+
"eval_steps_per_second": 1.698,
|
64 |
+
"step": 8000
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 0.16,
|
68 |
+
"gate_score": 0.0352,
|
69 |
+
"learning_rate": 4.3365897423117185e-05,
|
70 |
+
"loss": 95.272,
|
71 |
+
"nf_loss": 94.1643,
|
72 |
+
"ppl": 3.2978,
|
73 |
+
"step": 10000
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.19,
|
77 |
+
"gate_score": 0.023,
|
78 |
+
"learning_rate": 4.170446427088006e-05,
|
79 |
+
"loss": 68.625,
|
80 |
+
"nf_loss": 67.5129,
|
81 |
+
"ppl": 3.324,
|
82 |
+
"step": 12000
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 0.19,
|
86 |
+
"eval_loss": 53.623291015625,
|
87 |
+
"eval_nf_loss": 52.02442169189453,
|
88 |
+
"eval_perplexity": 6.536867618560791,
|
89 |
+
"eval_runtime": 3924.6092,
|
90 |
+
"eval_samples_per_second": 27.731,
|
91 |
+
"eval_steps_per_second": 1.733,
|
92 |
+
"step": 12000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.23,
|
96 |
+
"gate_score": 0.023,
|
97 |
+
"learning_rate": 4.004386183521906e-05,
|
98 |
+
"loss": 49.4308,
|
99 |
+
"nf_loss": 48.3272,
|
100 |
+
"ppl": 3.2964,
|
101 |
+
"step": 14000
|
102 |
+
},
|
103 |
+
{
|
104 |
+
"epoch": 0.26,
|
105 |
+
"gate_score": 0.0219,
|
106 |
+
"learning_rate": 3.8383259399558055e-05,
|
107 |
+
"loss": 36.663,
|
108 |
+
"nf_loss": 35.5419,
|
109 |
+
"ppl": 3.3952,
|
110 |
+
"step": 16000
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.26,
|
114 |
+
"eval_loss": 29.72612762451172,
|
115 |
+
"eval_nf_loss": 28.141469955444336,
|
116 |
+
"eval_perplexity": 6.444383144378662,
|
117 |
+
"eval_runtime": 3904.4886,
|
118 |
+
"eval_samples_per_second": 27.874,
|
119 |
+
"eval_steps_per_second": 1.742,
|
120 |
+
"step": 16000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.29,
|
124 |
+
"gate_score": 0.0183,
|
125 |
+
"learning_rate": 3.672265696389706e-05,
|
126 |
+
"loss": 30.1161,
|
127 |
+
"nf_loss": 29.0084,
|
128 |
+
"ppl": 3.3204,
|
129 |
+
"step": 18000
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.32,
|
133 |
+
"gate_score": 0.0188,
|
134 |
+
"learning_rate": 3.5061223811659935e-05,
|
135 |
+
"loss": 25.2734,
|
136 |
+
"nf_loss": 24.1661,
|
137 |
+
"ppl": 3.3019,
|
138 |
+
"step": 20000
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 0.32,
|
142 |
+
"eval_loss": 21.10334014892578,
|
143 |
+
"eval_nf_loss": 19.523048400878906,
|
144 |
+
"eval_perplexity": 6.385104656219482,
|
145 |
+
"eval_runtime": 3951.5734,
|
146 |
+
"eval_samples_per_second": 27.541,
|
147 |
+
"eval_steps_per_second": 1.721,
|
148 |
+
"step": 20000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 0.35,
|
152 |
+
"gate_score": 0.0189,
|
153 |
+
"learning_rate": 3.340062137599894e-05,
|
154 |
+
"loss": 21.8002,
|
155 |
+
"nf_loss": 20.6893,
|
156 |
+
"ppl": 3.3211,
|
157 |
+
"step": 22000
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 0.39,
|
161 |
+
"gate_score": 0.0186,
|
162 |
+
"learning_rate": 3.1740018940337936e-05,
|
163 |
+
"loss": 19.5679,
|
164 |
+
"nf_loss": 18.4664,
|
165 |
+
"ppl": 3.2967,
|
166 |
+
"step": 24000
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 0.39,
|
170 |
+
"eval_loss": 16.757369995117188,
|
171 |
+
"eval_nf_loss": 15.157673835754395,
|
172 |
+
"eval_perplexity": 6.50905179977417,
|
173 |
+
"eval_runtime": 4060.1325,
|
174 |
+
"eval_samples_per_second": 26.805,
|
175 |
+
"eval_steps_per_second": 1.675,
|
176 |
+
"step": 24000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.42,
|
180 |
+
"gate_score": 0.0169,
|
181 |
+
"learning_rate": 3.0079416504676937e-05,
|
182 |
+
"loss": 17.5505,
|
183 |
+
"nf_loss": 16.4471,
|
184 |
+
"ppl": 3.2866,
|
185 |
+
"step": 26000
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.45,
|
189 |
+
"gate_score": 0.0169,
|
190 |
+
"learning_rate": 2.8417983352439813e-05,
|
191 |
+
"loss": 16.0243,
|
192 |
+
"nf_loss": 14.9265,
|
193 |
+
"ppl": 3.2771,
|
194 |
+
"step": 28000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.45,
|
198 |
+
"eval_loss": 13.916472434997559,
|
199 |
+
"eval_nf_loss": 12.336326599121094,
|
200 |
+
"eval_perplexity": 6.333822250366211,
|
201 |
+
"eval_runtime": 4073.3885,
|
202 |
+
"eval_samples_per_second": 26.718,
|
203 |
+
"eval_steps_per_second": 1.67,
|
204 |
+
"step": 28000
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.48,
|
208 |
+
"gate_score": 0.0164,
|
209 |
+
"learning_rate": 2.6757380916778813e-05,
|
210 |
+
"loss": 14.7704,
|
211 |
+
"nf_loss": 13.6695,
|
212 |
+
"ppl": 3.2909,
|
213 |
+
"step": 30000
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 0.51,
|
217 |
+
"gate_score": 0.0165,
|
218 |
+
"learning_rate": 2.509677848111781e-05,
|
219 |
+
"loss": 13.8487,
|
220 |
+
"nf_loss": 12.7566,
|
221 |
+
"ppl": 3.2604,
|
222 |
+
"step": 32000
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 0.51,
|
226 |
+
"eval_loss": 12.310139656066895,
|
227 |
+
"eval_nf_loss": 10.705780029296875,
|
228 |
+
"eval_perplexity": 6.516045570373535,
|
229 |
+
"eval_runtime": 3950.6921,
|
230 |
+
"eval_samples_per_second": 27.548,
|
231 |
+
"eval_steps_per_second": 1.722,
|
232 |
+
"step": 32000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 0.55,
|
236 |
+
"gate_score": 0.0163,
|
237 |
+
"learning_rate": 2.3435345328880693e-05,
|
238 |
+
"loss": 13.021,
|
239 |
+
"nf_loss": 11.939,
|
240 |
+
"ppl": 3.2217,
|
241 |
+
"step": 34000
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 0.58,
|
245 |
+
"gate_score": 0.0164,
|
246 |
+
"learning_rate": 2.1774742893219694e-05,
|
247 |
+
"loss": 12.3656,
|
248 |
+
"nf_loss": 11.2731,
|
249 |
+
"ppl": 3.2491,
|
250 |
+
"step": 36000
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.58,
|
254 |
+
"eval_loss": 11.076099395751953,
|
255 |
+
"eval_nf_loss": 9.518845558166504,
|
256 |
+
"eval_perplexity": 6.16482400894165,
|
257 |
+
"eval_runtime": 3933.1054,
|
258 |
+
"eval_samples_per_second": 27.671,
|
259 |
+
"eval_steps_per_second": 1.729,
|
260 |
+
"step": 36000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.61,
|
264 |
+
"gate_score": 0.0169,
|
265 |
+
"learning_rate": 2.0113309740982573e-05,
|
266 |
+
"loss": 11.834,
|
267 |
+
"nf_loss": 10.7422,
|
268 |
+
"ppl": 3.248,
|
269 |
+
"step": 38000
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.64,
|
273 |
+
"gate_score": 0.017,
|
274 |
+
"learning_rate": 1.845270730532157e-05,
|
275 |
+
"loss": 11.301,
|
276 |
+
"nf_loss": 10.2211,
|
277 |
+
"ppl": 3.2176,
|
278 |
+
"step": 40000
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.64,
|
282 |
+
"eval_loss": 9.942972183227539,
|
283 |
+
"eval_nf_loss": 8.422438621520996,
|
284 |
+
"eval_perplexity": 5.888382911682129,
|
285 |
+
"eval_runtime": 3905.9353,
|
286 |
+
"eval_samples_per_second": 27.863,
|
287 |
+
"eval_steps_per_second": 1.741,
|
288 |
+
"step": 40000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.68,
|
292 |
+
"gate_score": 0.0178,
|
293 |
+
"learning_rate": 1.679293558623669e-05,
|
294 |
+
"loss": 10.826,
|
295 |
+
"nf_loss": 9.7634,
|
296 |
+
"ppl": 3.1432,
|
297 |
+
"step": 42000
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.71,
|
301 |
+
"gate_score": 0.0167,
|
302 |
+
"learning_rate": 1.513150243399957e-05,
|
303 |
+
"loss": 10.5722,
|
304 |
+
"nf_loss": 9.4924,
|
305 |
+
"ppl": 3.2112,
|
306 |
+
"step": 44000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.71,
|
310 |
+
"eval_loss": 9.34610366821289,
|
311 |
+
"eval_nf_loss": 7.819733619689941,
|
312 |
+
"eval_perplexity": 5.929094314575195,
|
313 |
+
"eval_runtime": 3809.9667,
|
314 |
+
"eval_samples_per_second": 28.565,
|
315 |
+
"eval_steps_per_second": 1.785,
|
316 |
+
"step": 44000
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 0.74,
|
320 |
+
"gate_score": 0.0164,
|
321 |
+
"learning_rate": 1.3470899998338569e-05,
|
322 |
+
"loss": 10.1982,
|
323 |
+
"nf_loss": 9.1308,
|
324 |
+
"ppl": 3.1538,
|
325 |
+
"step": 46000
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.77,
|
329 |
+
"gate_score": 0.0156,
|
330 |
+
"learning_rate": 1.1810297562677566e-05,
|
331 |
+
"loss": 9.9637,
|
332 |
+
"nf_loss": 8.9113,
|
333 |
+
"ppl": 3.1019,
|
334 |
+
"step": 48000
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.77,
|
338 |
+
"eval_loss": 9.272148132324219,
|
339 |
+
"eval_nf_loss": 7.770688056945801,
|
340 |
+
"eval_perplexity": 5.756178855895996,
|
341 |
+
"eval_runtime": 3799.2449,
|
342 |
+
"eval_samples_per_second": 28.646,
|
343 |
+
"eval_steps_per_second": 1.79,
|
344 |
+
"step": 48000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.8,
|
348 |
+
"gate_score": 0.0159,
|
349 |
+
"learning_rate": 1.0148864410440447e-05,
|
350 |
+
"loss": 9.7627,
|
351 |
+
"nf_loss": 8.701,
|
352 |
+
"ppl": 3.1339,
|
353 |
+
"step": 50000
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.84,
|
357 |
+
"gate_score": 0.015,
|
358 |
+
"learning_rate": 8.488261974779444e-06,
|
359 |
+
"loss": 9.5228,
|
360 |
+
"nf_loss": 8.4605,
|
361 |
+
"ppl": 3.1399,
|
362 |
+
"step": 52000
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.84,
|
366 |
+
"eval_loss": 8.568826675415039,
|
367 |
+
"eval_nf_loss": 7.074533462524414,
|
368 |
+
"eval_perplexity": 5.70849609375,
|
369 |
+
"eval_runtime": 3805.5723,
|
370 |
+
"eval_samples_per_second": 28.598,
|
371 |
+
"eval_steps_per_second": 1.787,
|
372 |
+
"step": 52000
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.87,
|
376 |
+
"gate_score": 0.0143,
|
377 |
+
"learning_rate": 6.827659539118445e-06,
|
378 |
+
"loss": 9.3407,
|
379 |
+
"nf_loss": 8.2955,
|
380 |
+
"ppl": 3.0762,
|
381 |
+
"step": 54000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.9,
|
385 |
+
"gate_score": 0.0148,
|
386 |
+
"learning_rate": 5.167057103457443e-06,
|
387 |
+
"loss": 9.1988,
|
388 |
+
"nf_loss": 8.1602,
|
389 |
+
"ppl": 3.058,
|
390 |
+
"step": 56000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 0.9,
|
394 |
+
"eval_loss": 8.280665397644043,
|
395 |
+
"eval_nf_loss": 6.778278827667236,
|
396 |
+
"eval_perplexity": 5.754031658172607,
|
397 |
+
"eval_runtime": 3795.1994,
|
398 |
+
"eval_samples_per_second": 28.676,
|
399 |
+
"eval_steps_per_second": 1.792,
|
400 |
+
"step": 56000
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.93,
|
404 |
+
"gate_score": 0.0146,
|
405 |
+
"learning_rate": 3.5056239512203227e-06,
|
406 |
+
"loss": 9.0572,
|
407 |
+
"nf_loss": 8.0245,
|
408 |
+
"ppl": 3.0413,
|
409 |
+
"step": 58000
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.96,
|
413 |
+
"gate_score": 0.0138,
|
414 |
+
"learning_rate": 1.8450215155593216e-06,
|
415 |
+
"loss": 9.0079,
|
416 |
+
"nf_loss": 7.9878,
|
417 |
+
"ppl": 3.002,
|
418 |
+
"step": 60000
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.96,
|
422 |
+
"eval_loss": 8.222879409790039,
|
423 |
+
"eval_nf_loss": 6.735788822174072,
|
424 |
+
"eval_perplexity": 5.6603827476501465,
|
425 |
+
"eval_runtime": 3672.6524,
|
426 |
+
"eval_samples_per_second": 29.633,
|
427 |
+
"eval_steps_per_second": 1.852,
|
428 |
+
"step": 60000
|
429 |
+
}
|
430 |
+
],
|
431 |
+
"max_steps": 62189,
|
432 |
+
"num_train_epochs": 1,
|
433 |
+
"total_flos": 1.06597659967488e+18,
|
434 |
+
"trial_name": null,
|
435 |
+
"trial_params": null
|
436 |
+
}
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|