Training in progress, step 43000, checkpoint
Browse files- checkpoint-43000/added_tokens.json +5 -0
- checkpoint-43000/config.json +46 -0
- checkpoint-43000/merges.txt +0 -0
- checkpoint-43000/optimizer.pt +3 -0
- checkpoint-43000/pytorch_model.bin +3 -0
- checkpoint-43000/rng_state.pth +3 -0
- checkpoint-43000/scheduler.pt +3 -0
- checkpoint-43000/special_tokens_map.json +6 -0
- checkpoint-43000/tokenizer_config.json +7 -0
- checkpoint-43000/trainer_state.json +670 -0
- checkpoint-43000/training_args.bin +3 -0
- checkpoint-43000/vocab.json +0 -0
checkpoint-43000/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<bos>": 40478,
|
3 |
+
"<eos>": 40479,
|
4 |
+
"<pad>": 40480
|
5 |
+
}
|
checkpoint-43000/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": 6,
|
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-43000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-43000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4d05a7548f6fbd3475026e9769ae127a5e9ecc8a5c6dfea12e7e2ad0027f4bfd
|
3 |
+
size 932401285
|
checkpoint-43000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:41fe7402e1c3f9d7971922f58255b9c9cfb52162b3ea493dcafb13ef007b83f1
|
3 |
+
size 466205145
|
checkpoint-43000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1c7e6e4671829a0f3070440d6da14119592c492bc830b6c94b5449457146f6e7
|
3 |
+
size 14575
|
checkpoint-43000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b5eff857b9dac2e12f82d13e35cd3f081abfad07554630ac9a45d29cedb3c15a
|
3 |
+
size 627
|
checkpoint-43000/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-43000/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-43000/trainer_state.json
ADDED
@@ -0,0 +1,670 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.000636339187622,
|
3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-42000",
|
4 |
+
"epoch": 1.7519556714471969,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 43000,
|
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": 1.2076,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 2.7750000000000004e-08,
|
20 |
+
"loss": 1.1301,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.3321357285429142,
|
26 |
+
"eval_loss": 1.1047232151031494,
|
27 |
+
"eval_runtime": 50.8344,
|
28 |
+
"eval_samples_per_second": 98.555,
|
29 |
+
"eval_steps_per_second": 12.334,
|
30 |
+
"step": 1000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 5.5527777777777784e-08,
|
35 |
+
"loss": 1.1286,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.3377245508982036,
|
41 |
+
"eval_loss": 1.1038333177566528,
|
42 |
+
"eval_runtime": 50.8114,
|
43 |
+
"eval_samples_per_second": 98.6,
|
44 |
+
"eval_steps_per_second": 12.34,
|
45 |
+
"step": 2000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 8.327777777777778e-08,
|
50 |
+
"loss": 1.1214,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.3409181636726547,
|
56 |
+
"eval_loss": 1.103529930114746,
|
57 |
+
"eval_runtime": 50.8258,
|
58 |
+
"eval_samples_per_second": 98.572,
|
59 |
+
"eval_steps_per_second": 12.336,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 1.1105555555555557e-07,
|
65 |
+
"loss": 1.1249,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.3469061876247505,
|
71 |
+
"eval_loss": 1.1000434160232544,
|
72 |
+
"eval_runtime": 50.6414,
|
73 |
+
"eval_samples_per_second": 98.931,
|
74 |
+
"eval_steps_per_second": 12.381,
|
75 |
+
"step": 4000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 1.3880555555555558e-07,
|
80 |
+
"loss": 1.1206,
|
81 |
+
"step": 5000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.34171656686626745,
|
86 |
+
"eval_loss": 1.0996097326278687,
|
87 |
+
"eval_runtime": 50.6956,
|
88 |
+
"eval_samples_per_second": 98.825,
|
89 |
+
"eval_steps_per_second": 12.368,
|
90 |
+
"step": 5000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 1.6658333333333335e-07,
|
95 |
+
"loss": 1.1161,
|
96 |
+
"step": 6000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.3590818363273453,
|
101 |
+
"eval_loss": 1.096977710723877,
|
102 |
+
"eval_runtime": 50.5826,
|
103 |
+
"eval_samples_per_second": 99.046,
|
104 |
+
"eval_steps_per_second": 12.396,
|
105 |
+
"step": 6000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.29,
|
109 |
+
"learning_rate": 1.9433333333333334e-07,
|
110 |
+
"loss": 1.1138,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.29,
|
115 |
+
"eval_accuracy": 0.3532934131736527,
|
116 |
+
"eval_loss": 1.0949815511703491,
|
117 |
+
"eval_runtime": 50.5604,
|
118 |
+
"eval_samples_per_second": 99.089,
|
119 |
+
"eval_steps_per_second": 12.401,
|
120 |
+
"step": 7000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.33,
|
124 |
+
"learning_rate": 2.2211111111111114e-07,
|
125 |
+
"loss": 1.1135,
|
126 |
+
"step": 8000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.33,
|
130 |
+
"eval_accuracy": 0.36327345309381237,
|
131 |
+
"eval_loss": 1.093558430671692,
|
132 |
+
"eval_runtime": 50.608,
|
133 |
+
"eval_samples_per_second": 98.996,
|
134 |
+
"eval_steps_per_second": 12.389,
|
135 |
+
"step": 8000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.37,
|
139 |
+
"learning_rate": 2.4986111111111113e-07,
|
140 |
+
"loss": 1.1063,
|
141 |
+
"step": 9000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.37,
|
145 |
+
"eval_accuracy": 0.35548902195608784,
|
146 |
+
"eval_loss": 1.0992107391357422,
|
147 |
+
"eval_runtime": 50.5434,
|
148 |
+
"eval_samples_per_second": 99.123,
|
149 |
+
"eval_steps_per_second": 12.405,
|
150 |
+
"step": 9000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.41,
|
154 |
+
"learning_rate": 2.776388888888889e-07,
|
155 |
+
"loss": 1.1083,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.41,
|
160 |
+
"eval_accuracy": 0.3836327345309381,
|
161 |
+
"eval_loss": 1.0920206308364868,
|
162 |
+
"eval_runtime": 50.5559,
|
163 |
+
"eval_samples_per_second": 99.098,
|
164 |
+
"eval_steps_per_second": 12.402,
|
165 |
+
"step": 10000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 3.053888888888889e-07,
|
170 |
+
"loss": 1.1044,
|
171 |
+
"step": 11000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.45,
|
175 |
+
"eval_accuracy": 0.38762475049900197,
|
176 |
+
"eval_loss": 1.0904459953308105,
|
177 |
+
"eval_runtime": 50.9725,
|
178 |
+
"eval_samples_per_second": 98.288,
|
179 |
+
"eval_steps_per_second": 12.301,
|
180 |
+
"step": 11000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.49,
|
184 |
+
"learning_rate": 3.331666666666667e-07,
|
185 |
+
"loss": 1.1019,
|
186 |
+
"step": 12000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.49,
|
190 |
+
"eval_accuracy": 0.3912175648702595,
|
191 |
+
"eval_loss": 1.088543176651001,
|
192 |
+
"eval_runtime": 50.8297,
|
193 |
+
"eval_samples_per_second": 98.564,
|
194 |
+
"eval_steps_per_second": 12.335,
|
195 |
+
"step": 12000
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 3.609166666666667e-07,
|
200 |
+
"loss": 1.1032,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.53,
|
205 |
+
"eval_accuracy": 0.3435129740518962,
|
206 |
+
"eval_loss": 1.0940682888031006,
|
207 |
+
"eval_runtime": 51.0031,
|
208 |
+
"eval_samples_per_second": 98.229,
|
209 |
+
"eval_steps_per_second": 12.293,
|
210 |
+
"step": 13000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.57,
|
214 |
+
"learning_rate": 3.886944444444445e-07,
|
215 |
+
"loss": 1.1006,
|
216 |
+
"step": 14000
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.57,
|
220 |
+
"eval_accuracy": 0.36826347305389223,
|
221 |
+
"eval_loss": 1.0924910306930542,
|
222 |
+
"eval_runtime": 51.2753,
|
223 |
+
"eval_samples_per_second": 97.708,
|
224 |
+
"eval_steps_per_second": 12.228,
|
225 |
+
"step": 14000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.164444444444445e-07,
|
230 |
+
"loss": 1.1,
|
231 |
+
"step": 15000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.61,
|
235 |
+
"eval_accuracy": 0.38323353293413176,
|
236 |
+
"eval_loss": 1.0879395008087158,
|
237 |
+
"eval_runtime": 51.3783,
|
238 |
+
"eval_samples_per_second": 97.512,
|
239 |
+
"eval_steps_per_second": 12.204,
|
240 |
+
"step": 15000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.65,
|
244 |
+
"learning_rate": 4.442222222222223e-07,
|
245 |
+
"loss": 1.0982,
|
246 |
+
"step": 16000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.65,
|
250 |
+
"eval_accuracy": 0.3964071856287425,
|
251 |
+
"eval_loss": 1.0822893381118774,
|
252 |
+
"eval_runtime": 51.2346,
|
253 |
+
"eval_samples_per_second": 97.786,
|
254 |
+
"eval_steps_per_second": 12.238,
|
255 |
+
"step": 16000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.7197222222222224e-07,
|
260 |
+
"loss": 1.0953,
|
261 |
+
"step": 17000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.69,
|
265 |
+
"eval_accuracy": 0.4121756487025948,
|
266 |
+
"eval_loss": 1.0795228481292725,
|
267 |
+
"eval_runtime": 51.31,
|
268 |
+
"eval_samples_per_second": 97.642,
|
269 |
+
"eval_steps_per_second": 12.22,
|
270 |
+
"step": 17000
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.73,
|
274 |
+
"learning_rate": 4.997500000000001e-07,
|
275 |
+
"loss": 1.0943,
|
276 |
+
"step": 18000
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.73,
|
280 |
+
"eval_accuracy": 0.42015968063872255,
|
281 |
+
"eval_loss": 1.079458236694336,
|
282 |
+
"eval_runtime": 51.3255,
|
283 |
+
"eval_samples_per_second": 97.612,
|
284 |
+
"eval_steps_per_second": 12.216,
|
285 |
+
"step": 18000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.77,
|
289 |
+
"learning_rate": 5.275e-07,
|
290 |
+
"loss": 1.0885,
|
291 |
+
"step": 19000
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.77,
|
295 |
+
"eval_accuracy": 0.437125748502994,
|
296 |
+
"eval_loss": 1.0667964220046997,
|
297 |
+
"eval_runtime": 51.1737,
|
298 |
+
"eval_samples_per_second": 97.902,
|
299 |
+
"eval_steps_per_second": 12.252,
|
300 |
+
"step": 19000
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.81,
|
304 |
+
"learning_rate": 5.552777777777778e-07,
|
305 |
+
"loss": 1.0792,
|
306 |
+
"step": 20000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.81,
|
310 |
+
"eval_accuracy": 0.4315369261477046,
|
311 |
+
"eval_loss": 1.0628777742385864,
|
312 |
+
"eval_runtime": 51.4162,
|
313 |
+
"eval_samples_per_second": 97.44,
|
314 |
+
"eval_steps_per_second": 12.195,
|
315 |
+
"step": 20000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 5.830277777777779e-07,
|
320 |
+
"loss": 1.0755,
|
321 |
+
"step": 21000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.86,
|
325 |
+
"eval_accuracy": 0.4343313373253493,
|
326 |
+
"eval_loss": 1.0604455471038818,
|
327 |
+
"eval_runtime": 51.2629,
|
328 |
+
"eval_samples_per_second": 97.731,
|
329 |
+
"eval_steps_per_second": 12.231,
|
330 |
+
"step": 21000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.9,
|
334 |
+
"learning_rate": 6.108055555555556e-07,
|
335 |
+
"loss": 1.073,
|
336 |
+
"step": 22000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.9,
|
340 |
+
"eval_accuracy": 0.43353293413173655,
|
341 |
+
"eval_loss": 1.0552711486816406,
|
342 |
+
"eval_runtime": 51.2402,
|
343 |
+
"eval_samples_per_second": 97.775,
|
344 |
+
"eval_steps_per_second": 12.236,
|
345 |
+
"step": 22000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 6.385555555555556e-07,
|
350 |
+
"loss": 1.0699,
|
351 |
+
"step": 23000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.94,
|
355 |
+
"eval_accuracy": 0.4313373253493014,
|
356 |
+
"eval_loss": 1.052398920059204,
|
357 |
+
"eval_runtime": 51.1758,
|
358 |
+
"eval_samples_per_second": 97.898,
|
359 |
+
"eval_steps_per_second": 12.252,
|
360 |
+
"step": 23000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.98,
|
364 |
+
"learning_rate": 6.663333333333334e-07,
|
365 |
+
"loss": 1.0695,
|
366 |
+
"step": 24000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.98,
|
370 |
+
"eval_accuracy": 0.4407185628742515,
|
371 |
+
"eval_loss": 1.047132968902588,
|
372 |
+
"eval_runtime": 51.3549,
|
373 |
+
"eval_samples_per_second": 97.556,
|
374 |
+
"eval_steps_per_second": 12.209,
|
375 |
+
"step": 24000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.02,
|
379 |
+
"learning_rate": 6.940833333333334e-07,
|
380 |
+
"loss": 1.0656,
|
381 |
+
"step": 25000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.02,
|
385 |
+
"eval_accuracy": 0.4439121756487026,
|
386 |
+
"eval_loss": 1.045853853225708,
|
387 |
+
"eval_runtime": 51.1548,
|
388 |
+
"eval_samples_per_second": 97.938,
|
389 |
+
"eval_steps_per_second": 12.257,
|
390 |
+
"step": 25000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.06,
|
394 |
+
"learning_rate": 7.218611111111112e-07,
|
395 |
+
"loss": 1.0645,
|
396 |
+
"step": 26000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"eval_accuracy": 0.43273453093812375,
|
401 |
+
"eval_loss": 1.0467982292175293,
|
402 |
+
"eval_runtime": 51.1774,
|
403 |
+
"eval_samples_per_second": 97.895,
|
404 |
+
"eval_steps_per_second": 12.252,
|
405 |
+
"step": 26000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.1,
|
409 |
+
"learning_rate": 7.496111111111112e-07,
|
410 |
+
"loss": 1.0639,
|
411 |
+
"step": 27000
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.1,
|
415 |
+
"eval_accuracy": 0.43313373253493015,
|
416 |
+
"eval_loss": 1.0436949729919434,
|
417 |
+
"eval_runtime": 51.1313,
|
418 |
+
"eval_samples_per_second": 97.983,
|
419 |
+
"eval_steps_per_second": 12.263,
|
420 |
+
"step": 27000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.14,
|
424 |
+
"learning_rate": 7.77388888888889e-07,
|
425 |
+
"loss": 1.0638,
|
426 |
+
"step": 28000
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"eval_accuracy": 0.436127744510978,
|
431 |
+
"eval_loss": 1.0424726009368896,
|
432 |
+
"eval_runtime": 51.2359,
|
433 |
+
"eval_samples_per_second": 97.783,
|
434 |
+
"eval_steps_per_second": 12.238,
|
435 |
+
"step": 28000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.18,
|
439 |
+
"learning_rate": 8.051388888888889e-07,
|
440 |
+
"loss": 1.0591,
|
441 |
+
"step": 29000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.18,
|
445 |
+
"eval_accuracy": 0.43852295409181635,
|
446 |
+
"eval_loss": 1.0379680395126343,
|
447 |
+
"eval_runtime": 51.0917,
|
448 |
+
"eval_samples_per_second": 98.059,
|
449 |
+
"eval_steps_per_second": 12.272,
|
450 |
+
"step": 29000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.22,
|
454 |
+
"learning_rate": 8.329166666666667e-07,
|
455 |
+
"loss": 1.0571,
|
456 |
+
"step": 30000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"eval_accuracy": 0.43932135728542915,
|
461 |
+
"eval_loss": 1.034009575843811,
|
462 |
+
"eval_runtime": 51.187,
|
463 |
+
"eval_samples_per_second": 97.876,
|
464 |
+
"eval_steps_per_second": 12.249,
|
465 |
+
"step": 30000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.26,
|
469 |
+
"learning_rate": 8.606666666666668e-07,
|
470 |
+
"loss": 1.0609,
|
471 |
+
"step": 31000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.26,
|
475 |
+
"eval_accuracy": 0.4489021956087824,
|
476 |
+
"eval_loss": 1.0380228757858276,
|
477 |
+
"eval_runtime": 51.2533,
|
478 |
+
"eval_samples_per_second": 97.75,
|
479 |
+
"eval_steps_per_second": 12.233,
|
480 |
+
"step": 31000
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.3,
|
484 |
+
"learning_rate": 8.884444444444445e-07,
|
485 |
+
"loss": 1.0536,
|
486 |
+
"step": 32000
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.3,
|
490 |
+
"eval_accuracy": 0.4347305389221557,
|
491 |
+
"eval_loss": 1.035749912261963,
|
492 |
+
"eval_runtime": 51.1708,
|
493 |
+
"eval_samples_per_second": 97.907,
|
494 |
+
"eval_steps_per_second": 12.253,
|
495 |
+
"step": 32000
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.34,
|
499 |
+
"learning_rate": 9.161944444444445e-07,
|
500 |
+
"loss": 1.0526,
|
501 |
+
"step": 33000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.34,
|
505 |
+
"eval_accuracy": 0.4471057884231537,
|
506 |
+
"eval_loss": 1.0298662185668945,
|
507 |
+
"eval_runtime": 51.2742,
|
508 |
+
"eval_samples_per_second": 97.71,
|
509 |
+
"eval_steps_per_second": 12.228,
|
510 |
+
"step": 33000
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.39,
|
514 |
+
"learning_rate": 9.439722222222223e-07,
|
515 |
+
"loss": 1.0454,
|
516 |
+
"step": 34000
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"eval_accuracy": 0.449500998003992,
|
521 |
+
"eval_loss": 1.028323769569397,
|
522 |
+
"eval_runtime": 51.2636,
|
523 |
+
"eval_samples_per_second": 97.73,
|
524 |
+
"eval_steps_per_second": 12.231,
|
525 |
+
"step": 34000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.43,
|
529 |
+
"learning_rate": 9.717222222222224e-07,
|
530 |
+
"loss": 1.0507,
|
531 |
+
"step": 35000
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.43,
|
535 |
+
"eval_accuracy": 0.4554890219560878,
|
536 |
+
"eval_loss": 1.0231916904449463,
|
537 |
+
"eval_runtime": 51.2328,
|
538 |
+
"eval_samples_per_second": 97.789,
|
539 |
+
"eval_steps_per_second": 12.238,
|
540 |
+
"step": 35000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.47,
|
544 |
+
"learning_rate": 9.995000000000001e-07,
|
545 |
+
"loss": 1.0462,
|
546 |
+
"step": 36000
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"eval_accuracy": 0.4590818363273453,
|
551 |
+
"eval_loss": 1.02061927318573,
|
552 |
+
"eval_runtime": 50.6455,
|
553 |
+
"eval_samples_per_second": 98.923,
|
554 |
+
"eval_steps_per_second": 12.38,
|
555 |
+
"step": 36000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.51,
|
559 |
+
"learning_rate": 1.02725e-06,
|
560 |
+
"loss": 1.0423,
|
561 |
+
"step": 37000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.51,
|
565 |
+
"eval_accuracy": 0.4722554890219561,
|
566 |
+
"eval_loss": 1.0115904808044434,
|
567 |
+
"eval_runtime": 51.0173,
|
568 |
+
"eval_samples_per_second": 98.202,
|
569 |
+
"eval_steps_per_second": 12.29,
|
570 |
+
"step": 37000
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.55,
|
574 |
+
"learning_rate": 1.055027777777778e-06,
|
575 |
+
"loss": 1.041,
|
576 |
+
"step": 38000
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"eval_accuracy": 0.47365269461077847,
|
581 |
+
"eval_loss": 1.0123876333236694,
|
582 |
+
"eval_runtime": 51.1777,
|
583 |
+
"eval_samples_per_second": 97.894,
|
584 |
+
"eval_steps_per_second": 12.251,
|
585 |
+
"step": 38000
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.59,
|
589 |
+
"learning_rate": 1.0827777777777778e-06,
|
590 |
+
"loss": 1.0422,
|
591 |
+
"step": 39000
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.59,
|
595 |
+
"eval_accuracy": 0.46367265469061875,
|
596 |
+
"eval_loss": 1.019059181213379,
|
597 |
+
"eval_runtime": 51.1786,
|
598 |
+
"eval_samples_per_second": 97.892,
|
599 |
+
"eval_steps_per_second": 12.251,
|
600 |
+
"step": 39000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.63,
|
604 |
+
"learning_rate": 1.1105555555555556e-06,
|
605 |
+
"loss": 1.034,
|
606 |
+
"step": 40000
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.63,
|
610 |
+
"eval_accuracy": 0.4782435129740519,
|
611 |
+
"eval_loss": 1.0045363903045654,
|
612 |
+
"eval_runtime": 51.2481,
|
613 |
+
"eval_samples_per_second": 97.76,
|
614 |
+
"eval_steps_per_second": 12.235,
|
615 |
+
"step": 40000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 1.67,
|
619 |
+
"learning_rate": 1.1383055555555557e-06,
|
620 |
+
"loss": 1.0349,
|
621 |
+
"step": 41000
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.67,
|
625 |
+
"eval_accuracy": 0.4550898203592814,
|
626 |
+
"eval_loss": 1.0253337621688843,
|
627 |
+
"eval_runtime": 51.219,
|
628 |
+
"eval_samples_per_second": 97.815,
|
629 |
+
"eval_steps_per_second": 12.242,
|
630 |
+
"step": 41000
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.71,
|
634 |
+
"learning_rate": 1.1660833333333334e-06,
|
635 |
+
"loss": 1.0338,
|
636 |
+
"step": 42000
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.71,
|
640 |
+
"eval_accuracy": 0.480439121756487,
|
641 |
+
"eval_loss": 1.000636339187622,
|
642 |
+
"eval_runtime": 51.1853,
|
643 |
+
"eval_samples_per_second": 97.88,
|
644 |
+
"eval_steps_per_second": 12.25,
|
645 |
+
"step": 42000
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 1.75,
|
649 |
+
"learning_rate": 1.1938333333333335e-06,
|
650 |
+
"loss": 1.031,
|
651 |
+
"step": 43000
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 1.75,
|
655 |
+
"eval_accuracy": 0.45888223552894214,
|
656 |
+
"eval_loss": 1.0288445949554443,
|
657 |
+
"eval_runtime": 51.295,
|
658 |
+
"eval_samples_per_second": 97.67,
|
659 |
+
"eval_steps_per_second": 12.223,
|
660 |
+
"step": 43000
|
661 |
+
}
|
662 |
+
],
|
663 |
+
"logging_steps": 1000,
|
664 |
+
"max_steps": 10000000,
|
665 |
+
"num_train_epochs": 408,
|
666 |
+
"save_steps": 1000,
|
667 |
+
"total_flos": 8.98850093114327e+16,
|
668 |
+
"trial_name": null,
|
669 |
+
"trial_params": null
|
670 |
+
}
|
checkpoint-43000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:933e5c21c45262af343f5d708824cb21f8d339a9e2662221f8b52a4157df35fa
|
3 |
+
size 4091
|
checkpoint-43000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|