Upload 3 files
Browse files- tokenizer_config.json +58 -0
- trainer_state.json +222 -0
- training_args.bin +3 -0
tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
"103": {
|
20 |
+
"content": "[MASK]",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"104": {
|
28 |
+
"content": "[CLS]",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"105": {
|
36 |
+
"content": "[SEP]",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"clean_up_tokenization_spaces": true,
|
45 |
+
"cls_token": "[CLS]",
|
46 |
+
"do_basic_tokenize": true,
|
47 |
+
"do_lower_case": false,
|
48 |
+
"lowercase": false,
|
49 |
+
"mask_token": "[MASK]",
|
50 |
+
"model_max_length": 512,
|
51 |
+
"never_split": null,
|
52 |
+
"pad_token": "[PAD]",
|
53 |
+
"sep_token": "[SEP]",
|
54 |
+
"strip_accents": false,
|
55 |
+
"tokenize_chinese_chars": true,
|
56 |
+
"tokenizer_class": "BertTokenizer",
|
57 |
+
"unk_token": "[UNK]"
|
58 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,222 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 15.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1875,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"eval_accuracy": 0.7046678635547576,
|
14 |
+
"eval_f1": 0.0,
|
15 |
+
"eval_loss": 2.1335229873657227,
|
16 |
+
"eval_precision": 0.0,
|
17 |
+
"eval_recall": 0.0,
|
18 |
+
"eval_runtime": 0.4061,
|
19 |
+
"eval_samples_per_second": 246.215,
|
20 |
+
"eval_steps_per_second": 32.008,
|
21 |
+
"step": 125
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 2.0,
|
25 |
+
"eval_accuracy": 0.7522441651705566,
|
26 |
+
"eval_f1": 0.14012738853503184,
|
27 |
+
"eval_loss": 2.0110883712768555,
|
28 |
+
"eval_precision": 0.55,
|
29 |
+
"eval_recall": 0.08029197080291971,
|
30 |
+
"eval_runtime": 0.3251,
|
31 |
+
"eval_samples_per_second": 307.591,
|
32 |
+
"eval_steps_per_second": 39.987,
|
33 |
+
"step": 250
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 3.0,
|
37 |
+
"eval_accuracy": 0.7630161579892281,
|
38 |
+
"eval_f1": 0.19540229885057472,
|
39 |
+
"eval_loss": 1.8779761791229248,
|
40 |
+
"eval_precision": 0.4594594594594595,
|
41 |
+
"eval_recall": 0.12408759124087591,
|
42 |
+
"eval_runtime": 0.3807,
|
43 |
+
"eval_samples_per_second": 262.671,
|
44 |
+
"eval_steps_per_second": 34.147,
|
45 |
+
"step": 375
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 4.0,
|
49 |
+
"grad_norm": 1.3616102933883667,
|
50 |
+
"learning_rate": 1.4666666666666666e-05,
|
51 |
+
"loss": 2.0165,
|
52 |
+
"step": 500
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 4.0,
|
56 |
+
"eval_accuracy": 0.8788150807899462,
|
57 |
+
"eval_f1": 0.55,
|
58 |
+
"eval_loss": 1.7138484716415405,
|
59 |
+
"eval_precision": 0.6407766990291263,
|
60 |
+
"eval_recall": 0.48175182481751827,
|
61 |
+
"eval_runtime": 0.3747,
|
62 |
+
"eval_samples_per_second": 266.905,
|
63 |
+
"eval_steps_per_second": 34.698,
|
64 |
+
"step": 500
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 5.0,
|
68 |
+
"eval_accuracy": 0.8940754039497307,
|
69 |
+
"eval_f1": 0.6439393939393939,
|
70 |
+
"eval_loss": 1.5681630373001099,
|
71 |
+
"eval_precision": 0.6692913385826772,
|
72 |
+
"eval_recall": 0.6204379562043796,
|
73 |
+
"eval_runtime": 0.4653,
|
74 |
+
"eval_samples_per_second": 214.902,
|
75 |
+
"eval_steps_per_second": 27.937,
|
76 |
+
"step": 625
|
77 |
+
},
|
78 |
+
{
|
79 |
+
"epoch": 6.0,
|
80 |
+
"eval_accuracy": 0.9371633752244165,
|
81 |
+
"eval_f1": 0.7970479704797049,
|
82 |
+
"eval_loss": 1.4361474514007568,
|
83 |
+
"eval_precision": 0.8059701492537313,
|
84 |
+
"eval_recall": 0.7883211678832117,
|
85 |
+
"eval_runtime": 0.4338,
|
86 |
+
"eval_samples_per_second": 230.535,
|
87 |
+
"eval_steps_per_second": 29.97,
|
88 |
+
"step": 750
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 7.0,
|
92 |
+
"eval_accuracy": 0.9488330341113106,
|
93 |
+
"eval_f1": 0.8475836431226766,
|
94 |
+
"eval_loss": 1.3189666271209717,
|
95 |
+
"eval_precision": 0.8636363636363636,
|
96 |
+
"eval_recall": 0.8321167883211679,
|
97 |
+
"eval_runtime": 0.462,
|
98 |
+
"eval_samples_per_second": 216.445,
|
99 |
+
"eval_steps_per_second": 28.138,
|
100 |
+
"step": 875
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 8.0,
|
104 |
+
"grad_norm": 1.242187738418579,
|
105 |
+
"learning_rate": 9.333333333333334e-06,
|
106 |
+
"loss": 1.461,
|
107 |
+
"step": 1000
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 8.0,
|
111 |
+
"eval_accuracy": 0.9605026929982047,
|
112 |
+
"eval_f1": 0.8623188405797102,
|
113 |
+
"eval_loss": 1.2221076488494873,
|
114 |
+
"eval_precision": 0.8561151079136691,
|
115 |
+
"eval_recall": 0.8686131386861314,
|
116 |
+
"eval_runtime": 0.4073,
|
117 |
+
"eval_samples_per_second": 245.517,
|
118 |
+
"eval_steps_per_second": 31.917,
|
119 |
+
"step": 1000
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 9.0,
|
123 |
+
"eval_accuracy": 0.966786355475763,
|
124 |
+
"eval_f1": 0.9051094890510949,
|
125 |
+
"eval_loss": 1.1402738094329834,
|
126 |
+
"eval_precision": 0.9051094890510949,
|
127 |
+
"eval_recall": 0.9051094890510949,
|
128 |
+
"eval_runtime": 0.4198,
|
129 |
+
"eval_samples_per_second": 238.187,
|
130 |
+
"eval_steps_per_second": 30.964,
|
131 |
+
"step": 1125
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 10.0,
|
135 |
+
"eval_accuracy": 0.966786355475763,
|
136 |
+
"eval_f1": 0.8864468864468864,
|
137 |
+
"eval_loss": 1.0731350183486938,
|
138 |
+
"eval_precision": 0.8897058823529411,
|
139 |
+
"eval_recall": 0.8832116788321168,
|
140 |
+
"eval_runtime": 0.3515,
|
141 |
+
"eval_samples_per_second": 284.456,
|
142 |
+
"eval_steps_per_second": 36.979,
|
143 |
+
"step": 1250
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 11.0,
|
147 |
+
"eval_accuracy": 0.9676840215439856,
|
148 |
+
"eval_f1": 0.9025270758122744,
|
149 |
+
"eval_loss": 1.0196468830108643,
|
150 |
+
"eval_precision": 0.8928571428571429,
|
151 |
+
"eval_recall": 0.9124087591240876,
|
152 |
+
"eval_runtime": 0.414,
|
153 |
+
"eval_samples_per_second": 241.566,
|
154 |
+
"eval_steps_per_second": 31.404,
|
155 |
+
"step": 1375
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 12.0,
|
159 |
+
"grad_norm": 1.1379125118255615,
|
160 |
+
"learning_rate": 4.000000000000001e-06,
|
161 |
+
"loss": 1.0954,
|
162 |
+
"step": 1500
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 12.0,
|
166 |
+
"eval_accuracy": 0.9685816876122083,
|
167 |
+
"eval_f1": 0.9057971014492754,
|
168 |
+
"eval_loss": 0.9813730120658875,
|
169 |
+
"eval_precision": 0.8992805755395683,
|
170 |
+
"eval_recall": 0.9124087591240876,
|
171 |
+
"eval_runtime": 0.3827,
|
172 |
+
"eval_samples_per_second": 261.27,
|
173 |
+
"eval_steps_per_second": 33.965,
|
174 |
+
"step": 1500
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 13.0,
|
178 |
+
"eval_accuracy": 0.9703770197486535,
|
179 |
+
"eval_f1": 0.9057971014492754,
|
180 |
+
"eval_loss": 0.955005943775177,
|
181 |
+
"eval_precision": 0.8992805755395683,
|
182 |
+
"eval_recall": 0.9124087591240876,
|
183 |
+
"eval_runtime": 0.4058,
|
184 |
+
"eval_samples_per_second": 246.447,
|
185 |
+
"eval_steps_per_second": 32.038,
|
186 |
+
"step": 1625
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 14.0,
|
190 |
+
"eval_accuracy": 0.9694793536804309,
|
191 |
+
"eval_f1": 0.9025270758122744,
|
192 |
+
"eval_loss": 0.9408783912658691,
|
193 |
+
"eval_precision": 0.8928571428571429,
|
194 |
+
"eval_recall": 0.9124087591240876,
|
195 |
+
"eval_runtime": 0.3995,
|
196 |
+
"eval_samples_per_second": 250.335,
|
197 |
+
"eval_steps_per_second": 32.544,
|
198 |
+
"step": 1750
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 15.0,
|
202 |
+
"eval_accuracy": 0.9703770197486535,
|
203 |
+
"eval_f1": 0.9057971014492754,
|
204 |
+
"eval_loss": 0.9354953169822693,
|
205 |
+
"eval_precision": 0.8992805755395683,
|
206 |
+
"eval_recall": 0.9124087591240876,
|
207 |
+
"eval_runtime": 0.4049,
|
208 |
+
"eval_samples_per_second": 246.945,
|
209 |
+
"eval_steps_per_second": 32.103,
|
210 |
+
"step": 1875
|
211 |
+
}
|
212 |
+
],
|
213 |
+
"logging_steps": 500,
|
214 |
+
"max_steps": 1875,
|
215 |
+
"num_input_tokens_seen": 0,
|
216 |
+
"num_train_epochs": 15,
|
217 |
+
"save_steps": 500,
|
218 |
+
"total_flos": 153789736715280.0,
|
219 |
+
"train_batch_size": 8,
|
220 |
+
"trial_name": null,
|
221 |
+
"trial_params": null
|
222 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d4a5539661885355a4c8e24c76a3cbf8bb51d4e957c1515d9bd5e490b9612126
|
3 |
+
size 4920
|