Training in progress, step 41000, checkpoint
Browse files- checkpoint-41000/added_tokens.json +5 -0
- checkpoint-41000/config.json +46 -0
- checkpoint-41000/merges.txt +0 -0
- checkpoint-41000/optimizer.pt +3 -0
- checkpoint-41000/pytorch_model.bin +3 -0
- checkpoint-41000/rng_state.pth +3 -0
- checkpoint-41000/scheduler.pt +3 -0
- checkpoint-41000/special_tokens_map.json +6 -0
- checkpoint-41000/tokenizer_config.json +7 -0
- checkpoint-41000/trainer_state.json +640 -0
- checkpoint-41000/training_args.bin +3 -0
- checkpoint-41000/vocab.json +0 -0
checkpoint-41000/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<bos>": 40478,
|
3 |
+
"<eos>": 40479,
|
4 |
+
"<pad>": 40480
|
5 |
+
}
|
checkpoint-41000/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai-gpt",
|
3 |
+
"afn": "gelu",
|
4 |
+
"architectures": [
|
5 |
+
"OpenAIGPTForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.1,
|
8 |
+
"embd_pdrop": 0.1,
|
9 |
+
"id2label": {
|
10 |
+
"0": "entailment",
|
11 |
+
"1": "neutral",
|
12 |
+
"2": "contradiction"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"label2id": {
|
16 |
+
"contradiction": 2,
|
17 |
+
"entailment": 0,
|
18 |
+
"neutral": 1
|
19 |
+
},
|
20 |
+
"layer_norm_epsilon": 1e-05,
|
21 |
+
"model_type": "openai-gpt",
|
22 |
+
"n_ctx": 512,
|
23 |
+
"n_embd": 768,
|
24 |
+
"n_head": 12,
|
25 |
+
"n_layer": 12,
|
26 |
+
"n_positions": 512,
|
27 |
+
"n_special": 0,
|
28 |
+
"pad_token_id": 40480,
|
29 |
+
"predict_special_tokens": true,
|
30 |
+
"problem_type": "single_label_classification",
|
31 |
+
"resid_pdrop": 0.1,
|
32 |
+
"summary_activation": null,
|
33 |
+
"summary_first_dropout": 0.1,
|
34 |
+
"summary_proj_to_labels": true,
|
35 |
+
"summary_type": "cls_index",
|
36 |
+
"summary_use_proj": true,
|
37 |
+
"task_specific_params": {
|
38 |
+
"text-generation": {
|
39 |
+
"do_sample": true,
|
40 |
+
"max_length": 50
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"torch_dtype": "float32",
|
44 |
+
"transformers_version": "4.33.0.dev0",
|
45 |
+
"vocab_size": 40481
|
46 |
+
}
|
checkpoint-41000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-41000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ef9103822e2bd092c49d96a44261f303d5d071d33ffdb169278a86a3fcc01cad
|
3 |
+
size 932401285
|
checkpoint-41000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2a837bb441149c55aff90a19ce35b7e03f47096e616adc270d4f3f9ccface1f5
|
3 |
+
size 466205145
|
checkpoint-41000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec62182f76c48d417ba241ff62616246ba282d8eb4801c7f80633e5889c35333
|
3 |
+
size 14575
|
checkpoint-41000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:268427a9b3bd1415cd23fb8135073bd6d33c4ae3f3f2cd5867f3aa0798b95649
|
3 |
+
size 627
|
checkpoint-41000/special_tokens_map.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<bos>",
|
3 |
+
"eos_token": "<eos>",
|
4 |
+
"pad_token": "<pad>",
|
5 |
+
"unk_token": "<unk>"
|
6 |
+
}
|
checkpoint-41000/tokenizer_config.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"clean_up_tokenization_spaces": true,
|
3 |
+
"model_max_length": 512,
|
4 |
+
"padding_side": "left",
|
5 |
+
"tokenizer_class": "OpenAIGPTTokenizer",
|
6 |
+
"unk_token": "<unk>"
|
7 |
+
}
|
checkpoint-41000/trainer_state.json
ADDED
@@ -0,0 +1,640 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.0093586444854736,
|
3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-40000",
|
4 |
+
"epoch": 1.6704693611473274,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 41000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.7777777777777777e-11,
|
14 |
+
"loss": 1.1065,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 2.7750000000000004e-08,
|
20 |
+
"loss": 1.1586,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.32954091816367265,
|
26 |
+
"eval_loss": 1.1065887212753296,
|
27 |
+
"eval_runtime": 54.4372,
|
28 |
+
"eval_samples_per_second": 92.033,
|
29 |
+
"eval_steps_per_second": 11.518,
|
30 |
+
"step": 1000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 5.5527777777777784e-08,
|
35 |
+
"loss": 1.1259,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.3435129740518962,
|
41 |
+
"eval_loss": 1.1045255661010742,
|
42 |
+
"eval_runtime": 54.458,
|
43 |
+
"eval_samples_per_second": 91.997,
|
44 |
+
"eval_steps_per_second": 11.513,
|
45 |
+
"step": 2000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 8.327777777777778e-08,
|
50 |
+
"loss": 1.1229,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.3441117764471058,
|
56 |
+
"eval_loss": 1.1050777435302734,
|
57 |
+
"eval_runtime": 54.349,
|
58 |
+
"eval_samples_per_second": 92.182,
|
59 |
+
"eval_steps_per_second": 11.537,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 1.1105555555555557e-07,
|
65 |
+
"loss": 1.1237,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.3411177644710579,
|
71 |
+
"eval_loss": 1.1015312671661377,
|
72 |
+
"eval_runtime": 54.4388,
|
73 |
+
"eval_samples_per_second": 92.03,
|
74 |
+
"eval_steps_per_second": 11.518,
|
75 |
+
"step": 4000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 1.3883333333333335e-07,
|
80 |
+
"loss": 1.1202,
|
81 |
+
"step": 5000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.3405189620758483,
|
86 |
+
"eval_loss": 1.1006112098693848,
|
87 |
+
"eval_runtime": 54.4109,
|
88 |
+
"eval_samples_per_second": 92.077,
|
89 |
+
"eval_steps_per_second": 11.523,
|
90 |
+
"step": 5000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 1.6658333333333335e-07,
|
95 |
+
"loss": 1.1182,
|
96 |
+
"step": 6000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.35489021956087824,
|
101 |
+
"eval_loss": 1.0982259511947632,
|
102 |
+
"eval_runtime": 54.3841,
|
103 |
+
"eval_samples_per_second": 92.123,
|
104 |
+
"eval_steps_per_second": 11.529,
|
105 |
+
"step": 6000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.29,
|
109 |
+
"learning_rate": 1.9436111111111112e-07,
|
110 |
+
"loss": 1.1125,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.29,
|
115 |
+
"eval_accuracy": 0.35748502994011977,
|
116 |
+
"eval_loss": 1.0954252481460571,
|
117 |
+
"eval_runtime": 54.3975,
|
118 |
+
"eval_samples_per_second": 92.1,
|
119 |
+
"eval_steps_per_second": 11.526,
|
120 |
+
"step": 7000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.33,
|
124 |
+
"learning_rate": 2.2213888888888891e-07,
|
125 |
+
"loss": 1.1096,
|
126 |
+
"step": 8000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.33,
|
130 |
+
"eval_accuracy": 0.3664670658682635,
|
131 |
+
"eval_loss": 1.0949230194091797,
|
132 |
+
"eval_runtime": 54.3263,
|
133 |
+
"eval_samples_per_second": 92.221,
|
134 |
+
"eval_steps_per_second": 11.541,
|
135 |
+
"step": 8000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.37,
|
139 |
+
"learning_rate": 2.4988888888888893e-07,
|
140 |
+
"loss": 1.1057,
|
141 |
+
"step": 9000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.37,
|
145 |
+
"eval_accuracy": 0.34890219560878244,
|
146 |
+
"eval_loss": 1.1037237644195557,
|
147 |
+
"eval_runtime": 54.3657,
|
148 |
+
"eval_samples_per_second": 92.154,
|
149 |
+
"eval_steps_per_second": 11.533,
|
150 |
+
"step": 9000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.41,
|
154 |
+
"learning_rate": 2.776666666666667e-07,
|
155 |
+
"loss": 1.1056,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.41,
|
160 |
+
"eval_accuracy": 0.3838323353293413,
|
161 |
+
"eval_loss": 1.0928014516830444,
|
162 |
+
"eval_runtime": 54.6518,
|
163 |
+
"eval_samples_per_second": 91.671,
|
164 |
+
"eval_steps_per_second": 11.473,
|
165 |
+
"step": 10000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 3.054444444444444e-07,
|
170 |
+
"loss": 1.1036,
|
171 |
+
"step": 11000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.45,
|
175 |
+
"eval_accuracy": 0.3838323353293413,
|
176 |
+
"eval_loss": 1.0908663272857666,
|
177 |
+
"eval_runtime": 54.579,
|
178 |
+
"eval_samples_per_second": 91.794,
|
179 |
+
"eval_steps_per_second": 11.488,
|
180 |
+
"step": 11000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.49,
|
184 |
+
"learning_rate": 3.3322222222222225e-07,
|
185 |
+
"loss": 1.1012,
|
186 |
+
"step": 12000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.49,
|
190 |
+
"eval_accuracy": 0.3872255489021956,
|
191 |
+
"eval_loss": 1.0890672206878662,
|
192 |
+
"eval_runtime": 54.5139,
|
193 |
+
"eval_samples_per_second": 91.903,
|
194 |
+
"eval_steps_per_second": 11.502,
|
195 |
+
"step": 12000
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 3.609722222222222e-07,
|
200 |
+
"loss": 1.103,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.53,
|
205 |
+
"eval_accuracy": 0.34311377245508984,
|
206 |
+
"eval_loss": 1.0942790508270264,
|
207 |
+
"eval_runtime": 54.3951,
|
208 |
+
"eval_samples_per_second": 92.104,
|
209 |
+
"eval_steps_per_second": 11.527,
|
210 |
+
"step": 13000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.57,
|
214 |
+
"learning_rate": 3.8875e-07,
|
215 |
+
"loss": 1.0997,
|
216 |
+
"step": 14000
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.57,
|
220 |
+
"eval_accuracy": 0.3712574850299401,
|
221 |
+
"eval_loss": 1.0931994915008545,
|
222 |
+
"eval_runtime": 54.3749,
|
223 |
+
"eval_samples_per_second": 92.138,
|
224 |
+
"eval_steps_per_second": 11.531,
|
225 |
+
"step": 14000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.1650000000000006e-07,
|
230 |
+
"loss": 1.0993,
|
231 |
+
"step": 15000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.61,
|
235 |
+
"eval_accuracy": 0.3872255489021956,
|
236 |
+
"eval_loss": 1.0887969732284546,
|
237 |
+
"eval_runtime": 54.4149,
|
238 |
+
"eval_samples_per_second": 92.07,
|
239 |
+
"eval_steps_per_second": 11.523,
|
240 |
+
"step": 15000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.65,
|
244 |
+
"learning_rate": 4.4427777777777783e-07,
|
245 |
+
"loss": 1.0983,
|
246 |
+
"step": 16000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.65,
|
250 |
+
"eval_accuracy": 0.3980039920159681,
|
251 |
+
"eval_loss": 1.0836474895477295,
|
252 |
+
"eval_runtime": 54.3692,
|
253 |
+
"eval_samples_per_second": 92.148,
|
254 |
+
"eval_steps_per_second": 11.532,
|
255 |
+
"step": 16000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.7202777777777785e-07,
|
260 |
+
"loss": 1.0954,
|
261 |
+
"step": 17000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.69,
|
265 |
+
"eval_accuracy": 0.3996007984031936,
|
266 |
+
"eval_loss": 1.0822749137878418,
|
267 |
+
"eval_runtime": 54.3313,
|
268 |
+
"eval_samples_per_second": 92.212,
|
269 |
+
"eval_steps_per_second": 11.54,
|
270 |
+
"step": 17000
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.73,
|
274 |
+
"learning_rate": 4.998055555555556e-07,
|
275 |
+
"loss": 1.097,
|
276 |
+
"step": 18000
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.73,
|
280 |
+
"eval_accuracy": 0.4033932135728543,
|
281 |
+
"eval_loss": 1.0845097303390503,
|
282 |
+
"eval_runtime": 54.3565,
|
283 |
+
"eval_samples_per_second": 92.169,
|
284 |
+
"eval_steps_per_second": 11.535,
|
285 |
+
"step": 18000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.77,
|
289 |
+
"learning_rate": 5.275555555555556e-07,
|
290 |
+
"loss": 1.0942,
|
291 |
+
"step": 19000
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.77,
|
295 |
+
"eval_accuracy": 0.4039920159680639,
|
296 |
+
"eval_loss": 1.0809950828552246,
|
297 |
+
"eval_runtime": 54.3973,
|
298 |
+
"eval_samples_per_second": 92.1,
|
299 |
+
"eval_steps_per_second": 11.526,
|
300 |
+
"step": 19000
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.81,
|
304 |
+
"learning_rate": 5.553333333333334e-07,
|
305 |
+
"loss": 1.0921,
|
306 |
+
"step": 20000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.81,
|
310 |
+
"eval_accuracy": 0.4055888223552894,
|
311 |
+
"eval_loss": 1.0818568468093872,
|
312 |
+
"eval_runtime": 54.8395,
|
313 |
+
"eval_samples_per_second": 91.358,
|
314 |
+
"eval_steps_per_second": 11.433,
|
315 |
+
"step": 20000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 5.830833333333334e-07,
|
320 |
+
"loss": 1.0914,
|
321 |
+
"step": 21000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.86,
|
325 |
+
"eval_accuracy": 0.38163672654690617,
|
326 |
+
"eval_loss": 1.08183753490448,
|
327 |
+
"eval_runtime": 54.4076,
|
328 |
+
"eval_samples_per_second": 92.083,
|
329 |
+
"eval_steps_per_second": 11.524,
|
330 |
+
"step": 21000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.9,
|
334 |
+
"learning_rate": 6.108611111111111e-07,
|
335 |
+
"loss": 1.091,
|
336 |
+
"step": 22000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.9,
|
340 |
+
"eval_accuracy": 0.40658682634730536,
|
341 |
+
"eval_loss": 1.0757951736450195,
|
342 |
+
"eval_runtime": 54.4113,
|
343 |
+
"eval_samples_per_second": 92.077,
|
344 |
+
"eval_steps_per_second": 11.523,
|
345 |
+
"step": 22000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 6.386388888888889e-07,
|
350 |
+
"loss": 1.0856,
|
351 |
+
"step": 23000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.94,
|
355 |
+
"eval_accuracy": 0.43313373253493015,
|
356 |
+
"eval_loss": 1.0659974813461304,
|
357 |
+
"eval_runtime": 54.3958,
|
358 |
+
"eval_samples_per_second": 92.103,
|
359 |
+
"eval_steps_per_second": 11.527,
|
360 |
+
"step": 23000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.98,
|
364 |
+
"learning_rate": 6.663888888888889e-07,
|
365 |
+
"loss": 1.0794,
|
366 |
+
"step": 24000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.98,
|
370 |
+
"eval_accuracy": 0.43952095808383235,
|
371 |
+
"eval_loss": 1.056550145149231,
|
372 |
+
"eval_runtime": 54.6408,
|
373 |
+
"eval_samples_per_second": 91.69,
|
374 |
+
"eval_steps_per_second": 11.475,
|
375 |
+
"step": 24000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.02,
|
379 |
+
"learning_rate": 6.941666666666667e-07,
|
380 |
+
"loss": 1.0714,
|
381 |
+
"step": 25000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.02,
|
385 |
+
"eval_accuracy": 0.4411177644710579,
|
386 |
+
"eval_loss": 1.0531866550445557,
|
387 |
+
"eval_runtime": 54.5122,
|
388 |
+
"eval_samples_per_second": 91.906,
|
389 |
+
"eval_steps_per_second": 11.502,
|
390 |
+
"step": 25000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.06,
|
394 |
+
"learning_rate": 7.219166666666666e-07,
|
395 |
+
"loss": 1.0703,
|
396 |
+
"step": 26000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"eval_accuracy": 0.43273453093812375,
|
401 |
+
"eval_loss": 1.0532232522964478,
|
402 |
+
"eval_runtime": 54.5098,
|
403 |
+
"eval_samples_per_second": 91.91,
|
404 |
+
"eval_steps_per_second": 11.503,
|
405 |
+
"step": 26000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.1,
|
409 |
+
"learning_rate": 7.496944444444444e-07,
|
410 |
+
"loss": 1.0682,
|
411 |
+
"step": 27000
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.1,
|
415 |
+
"eval_accuracy": 0.4353293413173653,
|
416 |
+
"eval_loss": 1.050220012664795,
|
417 |
+
"eval_runtime": 54.3702,
|
418 |
+
"eval_samples_per_second": 92.146,
|
419 |
+
"eval_steps_per_second": 11.532,
|
420 |
+
"step": 27000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.14,
|
424 |
+
"learning_rate": 7.774444444444445e-07,
|
425 |
+
"loss": 1.0671,
|
426 |
+
"step": 28000
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"eval_accuracy": 0.43333333333333335,
|
431 |
+
"eval_loss": 1.0470824241638184,
|
432 |
+
"eval_runtime": 54.4316,
|
433 |
+
"eval_samples_per_second": 92.042,
|
434 |
+
"eval_steps_per_second": 11.519,
|
435 |
+
"step": 28000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.18,
|
439 |
+
"learning_rate": 8.052222222222223e-07,
|
440 |
+
"loss": 1.0584,
|
441 |
+
"step": 29000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.18,
|
445 |
+
"eval_accuracy": 0.43972055888223555,
|
446 |
+
"eval_loss": 1.0414146184921265,
|
447 |
+
"eval_runtime": 54.4332,
|
448 |
+
"eval_samples_per_second": 92.039,
|
449 |
+
"eval_steps_per_second": 11.519,
|
450 |
+
"step": 29000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.22,
|
454 |
+
"learning_rate": 8.329722222222223e-07,
|
455 |
+
"loss": 1.0593,
|
456 |
+
"step": 30000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"eval_accuracy": 0.4375249500998004,
|
461 |
+
"eval_loss": 1.0382143259048462,
|
462 |
+
"eval_runtime": 54.3397,
|
463 |
+
"eval_samples_per_second": 92.198,
|
464 |
+
"eval_steps_per_second": 11.539,
|
465 |
+
"step": 30000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.26,
|
469 |
+
"learning_rate": 8.607500000000001e-07,
|
470 |
+
"loss": 1.0642,
|
471 |
+
"step": 31000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.26,
|
475 |
+
"eval_accuracy": 0.4367265469061876,
|
476 |
+
"eval_loss": 1.043815016746521,
|
477 |
+
"eval_runtime": 54.3991,
|
478 |
+
"eval_samples_per_second": 92.097,
|
479 |
+
"eval_steps_per_second": 11.526,
|
480 |
+
"step": 31000
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.3,
|
484 |
+
"learning_rate": 8.885e-07,
|
485 |
+
"loss": 1.0568,
|
486 |
+
"step": 32000
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.3,
|
490 |
+
"eval_accuracy": 0.43253493013972055,
|
491 |
+
"eval_loss": 1.040160059928894,
|
492 |
+
"eval_runtime": 54.3558,
|
493 |
+
"eval_samples_per_second": 92.171,
|
494 |
+
"eval_steps_per_second": 11.535,
|
495 |
+
"step": 32000
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.34,
|
499 |
+
"learning_rate": 9.162777777777779e-07,
|
500 |
+
"loss": 1.0555,
|
501 |
+
"step": 33000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.34,
|
505 |
+
"eval_accuracy": 0.4471057884231537,
|
506 |
+
"eval_loss": 1.0343328714370728,
|
507 |
+
"eval_runtime": 54.3506,
|
508 |
+
"eval_samples_per_second": 92.179,
|
509 |
+
"eval_steps_per_second": 11.536,
|
510 |
+
"step": 33000
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.39,
|
514 |
+
"learning_rate": 9.440555555555557e-07,
|
515 |
+
"loss": 1.0502,
|
516 |
+
"step": 34000
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"eval_accuracy": 0.4540918163672655,
|
521 |
+
"eval_loss": 1.0305495262145996,
|
522 |
+
"eval_runtime": 54.504,
|
523 |
+
"eval_samples_per_second": 91.92,
|
524 |
+
"eval_steps_per_second": 11.504,
|
525 |
+
"step": 34000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.43,
|
529 |
+
"learning_rate": 9.718055555555557e-07,
|
530 |
+
"loss": 1.054,
|
531 |
+
"step": 35000
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.43,
|
535 |
+
"eval_accuracy": 0.45169660678642715,
|
536 |
+
"eval_loss": 1.0271915197372437,
|
537 |
+
"eval_runtime": 54.3119,
|
538 |
+
"eval_samples_per_second": 92.245,
|
539 |
+
"eval_steps_per_second": 11.544,
|
540 |
+
"step": 35000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.47,
|
544 |
+
"learning_rate": 9.995833333333334e-07,
|
545 |
+
"loss": 1.049,
|
546 |
+
"step": 36000
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"eval_accuracy": 0.4540918163672655,
|
551 |
+
"eval_loss": 1.024204969406128,
|
552 |
+
"eval_runtime": 54.5422,
|
553 |
+
"eval_samples_per_second": 91.855,
|
554 |
+
"eval_steps_per_second": 11.496,
|
555 |
+
"step": 36000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.51,
|
559 |
+
"learning_rate": 1.0273333333333335e-06,
|
560 |
+
"loss": 1.0466,
|
561 |
+
"step": 37000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.51,
|
565 |
+
"eval_accuracy": 0.45848303393213574,
|
566 |
+
"eval_loss": 1.0162004232406616,
|
567 |
+
"eval_runtime": 54.455,
|
568 |
+
"eval_samples_per_second": 92.003,
|
569 |
+
"eval_steps_per_second": 11.514,
|
570 |
+
"step": 37000
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.55,
|
574 |
+
"learning_rate": 1.0551111111111113e-06,
|
575 |
+
"loss": 1.0443,
|
576 |
+
"step": 38000
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"eval_accuracy": 0.46447105788423154,
|
581 |
+
"eval_loss": 1.018208622932434,
|
582 |
+
"eval_runtime": 54.3633,
|
583 |
+
"eval_samples_per_second": 92.158,
|
584 |
+
"eval_steps_per_second": 11.534,
|
585 |
+
"step": 38000
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.59,
|
589 |
+
"learning_rate": 1.082888888888889e-06,
|
590 |
+
"loss": 1.0468,
|
591 |
+
"step": 39000
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.59,
|
595 |
+
"eval_accuracy": 0.4620758483033932,
|
596 |
+
"eval_loss": 1.0207008123397827,
|
597 |
+
"eval_runtime": 54.3964,
|
598 |
+
"eval_samples_per_second": 92.102,
|
599 |
+
"eval_steps_per_second": 11.527,
|
600 |
+
"step": 39000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.63,
|
604 |
+
"learning_rate": 1.1106666666666668e-06,
|
605 |
+
"loss": 1.0374,
|
606 |
+
"step": 40000
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.63,
|
610 |
+
"eval_accuracy": 0.469061876247505,
|
611 |
+
"eval_loss": 1.0093586444854736,
|
612 |
+
"eval_runtime": 54.4765,
|
613 |
+
"eval_samples_per_second": 91.966,
|
614 |
+
"eval_steps_per_second": 11.51,
|
615 |
+
"step": 40000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 1.67,
|
619 |
+
"learning_rate": 1.1384166666666669e-06,
|
620 |
+
"loss": 1.0398,
|
621 |
+
"step": 41000
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.67,
|
625 |
+
"eval_accuracy": 0.4590818363273453,
|
626 |
+
"eval_loss": 1.0263862609863281,
|
627 |
+
"eval_runtime": 54.4342,
|
628 |
+
"eval_samples_per_second": 92.038,
|
629 |
+
"eval_steps_per_second": 11.518,
|
630 |
+
"step": 41000
|
631 |
+
}
|
632 |
+
],
|
633 |
+
"logging_steps": 1000,
|
634 |
+
"max_steps": 10000000,
|
635 |
+
"num_train_epochs": 408,
|
636 |
+
"save_steps": 1000,
|
637 |
+
"total_flos": 8.57042990506967e+16,
|
638 |
+
"trial_name": null,
|
639 |
+
"trial_params": null
|
640 |
+
}
|
checkpoint-41000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:801932cde7104ce385ac1157cb55104d9d1819c965a9990b2a3d508b76c6c359
|
3 |
+
size 4091
|
checkpoint-41000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|