Training in progress, step 30000, checkpoint
Browse files- checkpoint-30000/added_tokens.json +5 -0
- checkpoint-30000/config.json +46 -0
- checkpoint-30000/merges.txt +0 -0
- checkpoint-30000/optimizer.pt +3 -0
- checkpoint-30000/pytorch_model.bin +3 -0
- checkpoint-30000/rng_state.pth +3 -0
- checkpoint-30000/scheduler.pt +3 -0
- checkpoint-30000/special_tokens_map.json +6 -0
- checkpoint-30000/tokenizer_config.json +7 -0
- checkpoint-30000/trainer_state.json +475 -0
- checkpoint-30000/training_args.bin +3 -0
- checkpoint-30000/vocab.json +0 -0
checkpoint-30000/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<bos>": 40478,
|
3 |
+
"<eos>": 40479,
|
4 |
+
"<pad>": 40480
|
5 |
+
}
|
checkpoint-30000/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": 2,
|
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-30000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-30000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e1964e737a05aa43264d85e63b1800f4ebdbb7e607f5524f2fab2b8325d5c943
|
3 |
+
size 932401285
|
checkpoint-30000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d0be645d5c193ce9eed1d7a0b58b2369dbca4c8bca88f0d0e18ec962cf46ff84
|
3 |
+
size 466205145
|
checkpoint-30000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0d70dce78f7ae2dc225d46dc4872f3963d18cf395b18f19bef7cb77673682395
|
3 |
+
size 14575
|
checkpoint-30000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:62c222543056aa7491e659ff5a550fc898faeb4f2737d504432a0848b254cd79
|
3 |
+
size 627
|
checkpoint-30000/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-30000/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-30000/trainer_state.json
ADDED
@@ -0,0 +1,475 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.0287295579910278,
|
3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-30000",
|
4 |
+
"epoch": 1.2222946544980444,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 30000,
|
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": 1.0788,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 2.7750000000000004e-08,
|
20 |
+
"loss": 1.2063,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.32894211576846305,
|
26 |
+
"eval_loss": 1.109653115272522,
|
27 |
+
"eval_runtime": 50.6057,
|
28 |
+
"eval_samples_per_second": 99.001,
|
29 |
+
"eval_steps_per_second": 12.39,
|
30 |
+
"step": 1000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 5.5527777777777784e-08,
|
35 |
+
"loss": 1.1293,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.32994011976047904,
|
41 |
+
"eval_loss": 1.1056402921676636,
|
42 |
+
"eval_runtime": 50.7169,
|
43 |
+
"eval_samples_per_second": 98.784,
|
44 |
+
"eval_steps_per_second": 12.363,
|
45 |
+
"step": 2000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 8.327777777777778e-08,
|
50 |
+
"loss": 1.1263,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.3347305389221557,
|
56 |
+
"eval_loss": 1.1063188314437866,
|
57 |
+
"eval_runtime": 50.8081,
|
58 |
+
"eval_samples_per_second": 98.606,
|
59 |
+
"eval_steps_per_second": 12.341,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 1.1105555555555557e-07,
|
65 |
+
"loss": 1.1211,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.34291417165668664,
|
71 |
+
"eval_loss": 1.1010773181915283,
|
72 |
+
"eval_runtime": 50.6469,
|
73 |
+
"eval_samples_per_second": 98.92,
|
74 |
+
"eval_steps_per_second": 12.38,
|
75 |
+
"step": 4000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 1.3883333333333335e-07,
|
80 |
+
"loss": 1.1176,
|
81 |
+
"step": 5000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.3395209580838323,
|
86 |
+
"eval_loss": 1.099412441253662,
|
87 |
+
"eval_runtime": 50.7266,
|
88 |
+
"eval_samples_per_second": 98.765,
|
89 |
+
"eval_steps_per_second": 12.36,
|
90 |
+
"step": 5000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 1.6658333333333335e-07,
|
95 |
+
"loss": 1.1165,
|
96 |
+
"step": 6000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.3596806387225549,
|
101 |
+
"eval_loss": 1.0983413457870483,
|
102 |
+
"eval_runtime": 50.7493,
|
103 |
+
"eval_samples_per_second": 98.721,
|
104 |
+
"eval_steps_per_second": 12.355,
|
105 |
+
"step": 6000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.29,
|
109 |
+
"learning_rate": 1.9436111111111112e-07,
|
110 |
+
"loss": 1.1127,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.29,
|
115 |
+
"eval_accuracy": 0.35768463073852297,
|
116 |
+
"eval_loss": 1.094804048538208,
|
117 |
+
"eval_runtime": 50.8322,
|
118 |
+
"eval_samples_per_second": 98.56,
|
119 |
+
"eval_steps_per_second": 12.335,
|
120 |
+
"step": 7000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.33,
|
124 |
+
"learning_rate": 2.2213888888888891e-07,
|
125 |
+
"loss": 1.1095,
|
126 |
+
"step": 8000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.33,
|
130 |
+
"eval_accuracy": 0.36407185628742517,
|
131 |
+
"eval_loss": 1.0937609672546387,
|
132 |
+
"eval_runtime": 50.8609,
|
133 |
+
"eval_samples_per_second": 98.504,
|
134 |
+
"eval_steps_per_second": 12.328,
|
135 |
+
"step": 8000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.37,
|
139 |
+
"learning_rate": 2.499166666666667e-07,
|
140 |
+
"loss": 1.1074,
|
141 |
+
"step": 9000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.37,
|
145 |
+
"eval_accuracy": 0.34770459081836325,
|
146 |
+
"eval_loss": 1.1025313138961792,
|
147 |
+
"eval_runtime": 50.8052,
|
148 |
+
"eval_samples_per_second": 98.612,
|
149 |
+
"eval_steps_per_second": 12.341,
|
150 |
+
"step": 9000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.41,
|
154 |
+
"learning_rate": 2.776666666666667e-07,
|
155 |
+
"loss": 1.1065,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.41,
|
160 |
+
"eval_accuracy": 0.38163672654690617,
|
161 |
+
"eval_loss": 1.0920748710632324,
|
162 |
+
"eval_runtime": 50.8964,
|
163 |
+
"eval_samples_per_second": 98.435,
|
164 |
+
"eval_steps_per_second": 12.319,
|
165 |
+
"step": 10000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 3.054444444444444e-07,
|
170 |
+
"loss": 1.1026,
|
171 |
+
"step": 11000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.45,
|
175 |
+
"eval_accuracy": 0.37944111776447104,
|
176 |
+
"eval_loss": 1.0899525880813599,
|
177 |
+
"eval_runtime": 50.6905,
|
178 |
+
"eval_samples_per_second": 98.835,
|
179 |
+
"eval_steps_per_second": 12.369,
|
180 |
+
"step": 11000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.49,
|
184 |
+
"learning_rate": 3.3319444444444444e-07,
|
185 |
+
"loss": 1.1016,
|
186 |
+
"step": 12000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.49,
|
190 |
+
"eval_accuracy": 0.4,
|
191 |
+
"eval_loss": 1.0867687463760376,
|
192 |
+
"eval_runtime": 50.8282,
|
193 |
+
"eval_samples_per_second": 98.567,
|
194 |
+
"eval_steps_per_second": 12.336,
|
195 |
+
"step": 12000
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 3.6094444444444446e-07,
|
200 |
+
"loss": 1.0999,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.53,
|
205 |
+
"eval_accuracy": 0.3467065868263473,
|
206 |
+
"eval_loss": 1.0919947624206543,
|
207 |
+
"eval_runtime": 50.7953,
|
208 |
+
"eval_samples_per_second": 98.631,
|
209 |
+
"eval_steps_per_second": 12.344,
|
210 |
+
"step": 13000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.57,
|
214 |
+
"learning_rate": 3.8872222222222223e-07,
|
215 |
+
"loss": 1.0976,
|
216 |
+
"step": 14000
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.57,
|
220 |
+
"eval_accuracy": 0.38003992015968063,
|
221 |
+
"eval_loss": 1.0882444381713867,
|
222 |
+
"eval_runtime": 50.8866,
|
223 |
+
"eval_samples_per_second": 98.454,
|
224 |
+
"eval_steps_per_second": 12.322,
|
225 |
+
"step": 14000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.1650000000000006e-07,
|
230 |
+
"loss": 1.0951,
|
231 |
+
"step": 15000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.61,
|
235 |
+
"eval_accuracy": 0.4229540918163673,
|
236 |
+
"eval_loss": 1.0766451358795166,
|
237 |
+
"eval_runtime": 50.7597,
|
238 |
+
"eval_samples_per_second": 98.7,
|
239 |
+
"eval_steps_per_second": 12.352,
|
240 |
+
"step": 15000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.65,
|
244 |
+
"learning_rate": 4.4425e-07,
|
245 |
+
"loss": 1.087,
|
246 |
+
"step": 16000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.65,
|
250 |
+
"eval_accuracy": 0.4339321357285429,
|
251 |
+
"eval_loss": 1.0621711015701294,
|
252 |
+
"eval_runtime": 50.7559,
|
253 |
+
"eval_samples_per_second": 98.708,
|
254 |
+
"eval_steps_per_second": 12.353,
|
255 |
+
"step": 16000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.7202777777777785e-07,
|
260 |
+
"loss": 1.0769,
|
261 |
+
"step": 17000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.69,
|
265 |
+
"eval_accuracy": 0.4357285429141717,
|
266 |
+
"eval_loss": 1.0624364614486694,
|
267 |
+
"eval_runtime": 50.8608,
|
268 |
+
"eval_samples_per_second": 98.504,
|
269 |
+
"eval_steps_per_second": 12.328,
|
270 |
+
"step": 17000
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.73,
|
274 |
+
"learning_rate": 4.998055555555556e-07,
|
275 |
+
"loss": 1.0798,
|
276 |
+
"step": 18000
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.73,
|
280 |
+
"eval_accuracy": 0.4311377245508982,
|
281 |
+
"eval_loss": 1.0611094236373901,
|
282 |
+
"eval_runtime": 50.7255,
|
283 |
+
"eval_samples_per_second": 98.767,
|
284 |
+
"eval_steps_per_second": 12.361,
|
285 |
+
"step": 18000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.77,
|
289 |
+
"learning_rate": 5.275555555555556e-07,
|
290 |
+
"loss": 1.0717,
|
291 |
+
"step": 19000
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.77,
|
295 |
+
"eval_accuracy": 0.43852295409181635,
|
296 |
+
"eval_loss": 1.056412935256958,
|
297 |
+
"eval_runtime": 50.8955,
|
298 |
+
"eval_samples_per_second": 98.437,
|
299 |
+
"eval_steps_per_second": 12.319,
|
300 |
+
"step": 19000
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.81,
|
304 |
+
"learning_rate": 5.553333333333334e-07,
|
305 |
+
"loss": 1.0682,
|
306 |
+
"step": 20000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.81,
|
310 |
+
"eval_accuracy": 0.43313373253493015,
|
311 |
+
"eval_loss": 1.0576339960098267,
|
312 |
+
"eval_runtime": 50.6675,
|
313 |
+
"eval_samples_per_second": 98.88,
|
314 |
+
"eval_steps_per_second": 12.375,
|
315 |
+
"step": 20000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 5.830833333333334e-07,
|
320 |
+
"loss": 1.0674,
|
321 |
+
"step": 21000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.86,
|
325 |
+
"eval_accuracy": 0.4305389221556886,
|
326 |
+
"eval_loss": 1.057605504989624,
|
327 |
+
"eval_runtime": 50.8082,
|
328 |
+
"eval_samples_per_second": 98.606,
|
329 |
+
"eval_steps_per_second": 12.341,
|
330 |
+
"step": 21000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.9,
|
334 |
+
"learning_rate": 6.108611111111111e-07,
|
335 |
+
"loss": 1.0689,
|
336 |
+
"step": 22000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.9,
|
340 |
+
"eval_accuracy": 0.4351297405189621,
|
341 |
+
"eval_loss": 1.0509696006774902,
|
342 |
+
"eval_runtime": 50.7595,
|
343 |
+
"eval_samples_per_second": 98.701,
|
344 |
+
"eval_steps_per_second": 12.352,
|
345 |
+
"step": 22000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 6.386388888888889e-07,
|
350 |
+
"loss": 1.065,
|
351 |
+
"step": 23000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.94,
|
355 |
+
"eval_accuracy": 0.4363273453093812,
|
356 |
+
"eval_loss": 1.0513038635253906,
|
357 |
+
"eval_runtime": 50.685,
|
358 |
+
"eval_samples_per_second": 98.846,
|
359 |
+
"eval_steps_per_second": 12.371,
|
360 |
+
"step": 23000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.98,
|
364 |
+
"learning_rate": 6.663888888888889e-07,
|
365 |
+
"loss": 1.0638,
|
366 |
+
"step": 24000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.98,
|
370 |
+
"eval_accuracy": 0.4429141716566866,
|
371 |
+
"eval_loss": 1.04515540599823,
|
372 |
+
"eval_runtime": 50.9215,
|
373 |
+
"eval_samples_per_second": 98.387,
|
374 |
+
"eval_steps_per_second": 12.313,
|
375 |
+
"step": 24000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.02,
|
379 |
+
"learning_rate": 6.941666666666667e-07,
|
380 |
+
"loss": 1.0607,
|
381 |
+
"step": 25000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.02,
|
385 |
+
"eval_accuracy": 0.4471057884231537,
|
386 |
+
"eval_loss": 1.0432593822479248,
|
387 |
+
"eval_runtime": 50.8338,
|
388 |
+
"eval_samples_per_second": 98.556,
|
389 |
+
"eval_steps_per_second": 12.334,
|
390 |
+
"step": 25000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.06,
|
394 |
+
"learning_rate": 7.219444444444444e-07,
|
395 |
+
"loss": 1.0578,
|
396 |
+
"step": 26000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"eval_accuracy": 0.4407185628742515,
|
401 |
+
"eval_loss": 1.044198751449585,
|
402 |
+
"eval_runtime": 50.8791,
|
403 |
+
"eval_samples_per_second": 98.469,
|
404 |
+
"eval_steps_per_second": 12.323,
|
405 |
+
"step": 26000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.1,
|
409 |
+
"learning_rate": 7.496944444444444e-07,
|
410 |
+
"loss": 1.0602,
|
411 |
+
"step": 27000
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.1,
|
415 |
+
"eval_accuracy": 0.4363273453093812,
|
416 |
+
"eval_loss": 1.045542597770691,
|
417 |
+
"eval_runtime": 50.8933,
|
418 |
+
"eval_samples_per_second": 98.441,
|
419 |
+
"eval_steps_per_second": 12.32,
|
420 |
+
"step": 27000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.14,
|
424 |
+
"learning_rate": 7.774722222222223e-07,
|
425 |
+
"loss": 1.0566,
|
426 |
+
"step": 28000
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"eval_accuracy": 0.437125748502994,
|
431 |
+
"eval_loss": 1.038167953491211,
|
432 |
+
"eval_runtime": 50.8894,
|
433 |
+
"eval_samples_per_second": 98.449,
|
434 |
+
"eval_steps_per_second": 12.321,
|
435 |
+
"step": 28000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.18,
|
439 |
+
"learning_rate": 8.052222222222223e-07,
|
440 |
+
"loss": 1.0528,
|
441 |
+
"step": 29000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.18,
|
445 |
+
"eval_accuracy": 0.45069860279441115,
|
446 |
+
"eval_loss": 1.0337190628051758,
|
447 |
+
"eval_runtime": 50.8393,
|
448 |
+
"eval_samples_per_second": 98.546,
|
449 |
+
"eval_steps_per_second": 12.333,
|
450 |
+
"step": 29000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.22,
|
454 |
+
"learning_rate": 8.330000000000001e-07,
|
455 |
+
"loss": 1.0507,
|
456 |
+
"step": 30000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"eval_accuracy": 0.4497005988023952,
|
461 |
+
"eval_loss": 1.0287295579910278,
|
462 |
+
"eval_runtime": 50.8361,
|
463 |
+
"eval_samples_per_second": 98.552,
|
464 |
+
"eval_steps_per_second": 12.334,
|
465 |
+
"step": 30000
|
466 |
+
}
|
467 |
+
],
|
468 |
+
"logging_steps": 1000,
|
469 |
+
"max_steps": 10000000,
|
470 |
+
"num_train_epochs": 408,
|
471 |
+
"save_steps": 1000,
|
472 |
+
"total_flos": 6.27103926166487e+16,
|
473 |
+
"trial_name": null,
|
474 |
+
"trial_params": null
|
475 |
+
}
|
checkpoint-30000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0ba6621b829e7b7a24837f1c8da621351c891fe426b370399b04766c22090faa
|
3 |
+
size 4091
|
checkpoint-30000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|