Commit
•
f1eb16e
1
Parent(s):
a222a26
init model
Browse files- config.json +36 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +457 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "GroNLP/bert-base-dutch-cased",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "negative",
|
14 |
+
"1": "neutral",
|
15 |
+
"2": "positive"
|
16 |
+
},
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"label2id": {
|
20 |
+
"negative": 0,
|
21 |
+
"neutral": 1,
|
22 |
+
"positive": 2
|
23 |
+
},
|
24 |
+
"layer_norm_eps": 1e-12,
|
25 |
+
"max_position_embeddings": 512,
|
26 |
+
"model_type": "bert",
|
27 |
+
"num_attention_heads": 12,
|
28 |
+
"num_hidden_layers": 12,
|
29 |
+
"pad_token_id": 3,
|
30 |
+
"position_embedding_type": "absolute",
|
31 |
+
"torch_dtype": "float32",
|
32 |
+
"transformers_version": "4.21.0.dev0",
|
33 |
+
"type_vocab_size": 2,
|
34 |
+
"use_cache": true,
|
35 |
+
"vocab_size": 30073
|
36 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c24b6e7600731f4f827d6ebf7c530b3919a7fcdc81f0ec28aab9b152f169cb40
|
3 |
+
size 436629869
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"do_basic_tokenize": true,
|
4 |
+
"do_lower_case": false,
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"model_max_length": 512,
|
7 |
+
"name_or_path": "GroNLP/bert-base-dutch-cased",
|
8 |
+
"never_split": null,
|
9 |
+
"pad_token": "[PAD]",
|
10 |
+
"sep_token": "[SEP]",
|
11 |
+
"special_tokens_map_file": "/home/bram/.cache/huggingface/transformers/adb82a117c09b0f8768357de8e836a9e0610730782f82edc49dd0020c48f1d03.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d",
|
12 |
+
"strip_accents": null,
|
13 |
+
"tokenize_chinese_chars": true,
|
14 |
+
"tokenizer_class": "BertTokenizer",
|
15 |
+
"unk_token": "[UNK]"
|
16 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,457 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8199536621312183,
|
3 |
+
"best_model_checkpoint": "/home/bram/shares/predict/trained/dutch/hebban-reviews/bert-base-dutch-cased/checkpoint-11000",
|
4 |
+
"epoch": 3.9447731755424065,
|
5 |
+
"global_step": 12000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.16,
|
12 |
+
"learning_rate": 4.792083333333334e-05,
|
13 |
+
"loss": 0.7371,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.16,
|
18 |
+
"eval_accuracy": 0.7546844181459567,
|
19 |
+
"eval_f1": 0.7629915603619231,
|
20 |
+
"eval_loss": 0.6527217626571655,
|
21 |
+
"eval_precision": 0.7780177612862748,
|
22 |
+
"eval_recall": 0.7546844181459567,
|
23 |
+
"eval_runtime": 24.4866,
|
24 |
+
"eval_samples_per_second": 662.566,
|
25 |
+
"eval_steps_per_second": 27.607,
|
26 |
+
"step": 500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.33,
|
30 |
+
"learning_rate": 4.58375e-05,
|
31 |
+
"loss": 0.6457,
|
32 |
+
"step": 1000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.33,
|
36 |
+
"eval_accuracy": 0.7643614398422091,
|
37 |
+
"eval_f1": 0.7769010779814548,
|
38 |
+
"eval_loss": 0.6216204166412354,
|
39 |
+
"eval_precision": 0.8017754901402682,
|
40 |
+
"eval_recall": 0.7643614398422091,
|
41 |
+
"eval_runtime": 24.6912,
|
42 |
+
"eval_samples_per_second": 657.077,
|
43 |
+
"eval_steps_per_second": 27.378,
|
44 |
+
"step": 1000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.49,
|
48 |
+
"learning_rate": 4.375416666666667e-05,
|
49 |
+
"loss": 0.6184,
|
50 |
+
"step": 1500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.49,
|
54 |
+
"eval_accuracy": 0.7790310650887574,
|
55 |
+
"eval_f1": 0.789661025567087,
|
56 |
+
"eval_loss": 0.6005069017410278,
|
57 |
+
"eval_precision": 0.8094066060995802,
|
58 |
+
"eval_recall": 0.7790310650887574,
|
59 |
+
"eval_runtime": 24.5988,
|
60 |
+
"eval_samples_per_second": 659.544,
|
61 |
+
"eval_steps_per_second": 27.481,
|
62 |
+
"step": 1500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.66,
|
66 |
+
"learning_rate": 4.1670833333333334e-05,
|
67 |
+
"loss": 0.6042,
|
68 |
+
"step": 2000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.66,
|
72 |
+
"eval_accuracy": 0.8077539447731755,
|
73 |
+
"eval_f1": 0.8118714417209679,
|
74 |
+
"eval_loss": 0.5989466309547424,
|
75 |
+
"eval_precision": 0.8220143498287384,
|
76 |
+
"eval_recall": 0.8077539447731755,
|
77 |
+
"eval_runtime": 24.5976,
|
78 |
+
"eval_samples_per_second": 659.577,
|
79 |
+
"eval_steps_per_second": 27.482,
|
80 |
+
"step": 2000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.82,
|
84 |
+
"learning_rate": 3.959166666666667e-05,
|
85 |
+
"loss": 0.5744,
|
86 |
+
"step": 2500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.82,
|
90 |
+
"eval_accuracy": 0.7972140039447732,
|
91 |
+
"eval_f1": 0.8043419281165946,
|
92 |
+
"eval_loss": 0.5735336542129517,
|
93 |
+
"eval_precision": 0.8156333669948874,
|
94 |
+
"eval_recall": 0.7972140039447732,
|
95 |
+
"eval_runtime": 24.5948,
|
96 |
+
"eval_samples_per_second": 659.651,
|
97 |
+
"eval_steps_per_second": 27.485,
|
98 |
+
"step": 2500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.99,
|
102 |
+
"learning_rate": 3.7512500000000004e-05,
|
103 |
+
"loss": 0.5833,
|
104 |
+
"step": 3000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.99,
|
108 |
+
"eval_accuracy": 0.8060281065088757,
|
109 |
+
"eval_f1": 0.8074379985793598,
|
110 |
+
"eval_loss": 0.5610195994377136,
|
111 |
+
"eval_precision": 0.8123421315309852,
|
112 |
+
"eval_recall": 0.8060281065088757,
|
113 |
+
"eval_runtime": 24.5935,
|
114 |
+
"eval_samples_per_second": 659.686,
|
115 |
+
"eval_steps_per_second": 27.487,
|
116 |
+
"step": 3000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 1.15,
|
120 |
+
"learning_rate": 3.542916666666667e-05,
|
121 |
+
"loss": 0.4633,
|
122 |
+
"step": 3500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 1.15,
|
126 |
+
"eval_accuracy": 0.8055966469428008,
|
127 |
+
"eval_f1": 0.8112577676458685,
|
128 |
+
"eval_loss": 0.5967000126838684,
|
129 |
+
"eval_precision": 0.8196531984723394,
|
130 |
+
"eval_recall": 0.8055966469428008,
|
131 |
+
"eval_runtime": 24.7636,
|
132 |
+
"eval_samples_per_second": 655.155,
|
133 |
+
"eval_steps_per_second": 27.298,
|
134 |
+
"step": 3500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 1.31,
|
138 |
+
"learning_rate": 3.3345833333333335e-05,
|
139 |
+
"loss": 0.4473,
|
140 |
+
"step": 4000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 1.31,
|
144 |
+
"eval_accuracy": 0.8108357988165681,
|
145 |
+
"eval_f1": 0.8144157036046853,
|
146 |
+
"eval_loss": 0.6390397548675537,
|
147 |
+
"eval_precision": 0.8190905659244092,
|
148 |
+
"eval_recall": 0.8108357988165681,
|
149 |
+
"eval_runtime": 24.7631,
|
150 |
+
"eval_samples_per_second": 655.169,
|
151 |
+
"eval_steps_per_second": 27.299,
|
152 |
+
"step": 4000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.48,
|
156 |
+
"learning_rate": 3.12625e-05,
|
157 |
+
"loss": 0.4493,
|
158 |
+
"step": 4500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 1.48,
|
162 |
+
"eval_accuracy": 0.7642998027613412,
|
163 |
+
"eval_f1": 0.780188565362406,
|
164 |
+
"eval_loss": 0.6074336171150208,
|
165 |
+
"eval_precision": 0.818173356753982,
|
166 |
+
"eval_recall": 0.7642998027613412,
|
167 |
+
"eval_runtime": 24.6961,
|
168 |
+
"eval_samples_per_second": 656.945,
|
169 |
+
"eval_steps_per_second": 27.373,
|
170 |
+
"step": 4500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 1.64,
|
174 |
+
"learning_rate": 2.917916666666667e-05,
|
175 |
+
"loss": 0.4402,
|
176 |
+
"step": 5000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 1.64,
|
180 |
+
"eval_accuracy": 0.817430966469428,
|
181 |
+
"eval_f1": 0.818650395547064,
|
182 |
+
"eval_loss": 0.6175166368484497,
|
183 |
+
"eval_precision": 0.8200081119899918,
|
184 |
+
"eval_recall": 0.817430966469428,
|
185 |
+
"eval_runtime": 24.5978,
|
186 |
+
"eval_samples_per_second": 659.57,
|
187 |
+
"eval_steps_per_second": 27.482,
|
188 |
+
"step": 5000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.81,
|
192 |
+
"learning_rate": 2.7100000000000005e-05,
|
193 |
+
"loss": 0.4406,
|
194 |
+
"step": 5500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 1.81,
|
198 |
+
"eval_accuracy": 0.8167529585798816,
|
199 |
+
"eval_f1": 0.8194587497642177,
|
200 |
+
"eval_loss": 0.6328938603401184,
|
201 |
+
"eval_precision": 0.8229261899048395,
|
202 |
+
"eval_recall": 0.8167529585798816,
|
203 |
+
"eval_runtime": 24.611,
|
204 |
+
"eval_samples_per_second": 659.218,
|
205 |
+
"eval_steps_per_second": 27.467,
|
206 |
+
"step": 5500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.97,
|
210 |
+
"learning_rate": 2.5016666666666667e-05,
|
211 |
+
"loss": 0.4457,
|
212 |
+
"step": 6000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.97,
|
216 |
+
"eval_accuracy": 0.8178007889546351,
|
217 |
+
"eval_f1": 0.8196437981366307,
|
218 |
+
"eval_loss": 0.6221566796302795,
|
219 |
+
"eval_precision": 0.8219923397562409,
|
220 |
+
"eval_recall": 0.8178007889546351,
|
221 |
+
"eval_runtime": 24.6955,
|
222 |
+
"eval_samples_per_second": 656.961,
|
223 |
+
"eval_steps_per_second": 27.373,
|
224 |
+
"step": 6000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.14,
|
228 |
+
"learning_rate": 2.2933333333333333e-05,
|
229 |
+
"loss": 0.3013,
|
230 |
+
"step": 6500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 2.14,
|
234 |
+
"eval_accuracy": 0.8099112426035503,
|
235 |
+
"eval_f1": 0.8154916160650456,
|
236 |
+
"eval_loss": 0.7676593661308289,
|
237 |
+
"eval_precision": 0.8240038245839082,
|
238 |
+
"eval_recall": 0.8099112426035503,
|
239 |
+
"eval_runtime": 24.7339,
|
240 |
+
"eval_samples_per_second": 655.941,
|
241 |
+
"eval_steps_per_second": 27.331,
|
242 |
+
"step": 6500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 2.3,
|
246 |
+
"learning_rate": 2.0854166666666668e-05,
|
247 |
+
"loss": 0.2875,
|
248 |
+
"step": 7000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 2.3,
|
252 |
+
"eval_accuracy": 0.8025764299802761,
|
253 |
+
"eval_f1": 0.8097813881432507,
|
254 |
+
"eval_loss": 0.7549890279769897,
|
255 |
+
"eval_precision": 0.8215043597038734,
|
256 |
+
"eval_recall": 0.8025764299802761,
|
257 |
+
"eval_runtime": 24.7599,
|
258 |
+
"eval_samples_per_second": 655.252,
|
259 |
+
"eval_steps_per_second": 27.302,
|
260 |
+
"step": 7000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 2.47,
|
264 |
+
"learning_rate": 1.8770833333333333e-05,
|
265 |
+
"loss": 0.2804,
|
266 |
+
"step": 7500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 2.47,
|
270 |
+
"eval_accuracy": 0.8102194280078896,
|
271 |
+
"eval_f1": 0.8148870229811181,
|
272 |
+
"eval_loss": 0.804236114025116,
|
273 |
+
"eval_precision": 0.8221239914552869,
|
274 |
+
"eval_recall": 0.8102194280078896,
|
275 |
+
"eval_runtime": 24.6532,
|
276 |
+
"eval_samples_per_second": 658.09,
|
277 |
+
"eval_steps_per_second": 27.42,
|
278 |
+
"step": 7500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 2.63,
|
282 |
+
"learning_rate": 1.66875e-05,
|
283 |
+
"loss": 0.2784,
|
284 |
+
"step": 8000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 2.63,
|
288 |
+
"eval_accuracy": 0.8136711045364892,
|
289 |
+
"eval_f1": 0.8173932526970648,
|
290 |
+
"eval_loss": 0.8103494644165039,
|
291 |
+
"eval_precision": 0.8223803033268108,
|
292 |
+
"eval_recall": 0.8136711045364892,
|
293 |
+
"eval_runtime": 24.5862,
|
294 |
+
"eval_samples_per_second": 659.883,
|
295 |
+
"eval_steps_per_second": 27.495,
|
296 |
+
"step": 8000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 2.79,
|
300 |
+
"learning_rate": 1.4604166666666666e-05,
|
301 |
+
"loss": 0.275,
|
302 |
+
"step": 8500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 2.79,
|
306 |
+
"eval_accuracy": 0.8132396449704142,
|
307 |
+
"eval_f1": 0.8172151251977423,
|
308 |
+
"eval_loss": 0.8132022619247437,
|
309 |
+
"eval_precision": 0.8227088066747076,
|
310 |
+
"eval_recall": 0.8132396449704142,
|
311 |
+
"eval_runtime": 24.5279,
|
312 |
+
"eval_samples_per_second": 661.452,
|
313 |
+
"eval_steps_per_second": 27.56,
|
314 |
+
"step": 8500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.96,
|
318 |
+
"learning_rate": 1.2520833333333334e-05,
|
319 |
+
"loss": 0.2651,
|
320 |
+
"step": 9000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 2.96,
|
324 |
+
"eval_accuracy": 0.8065212031558185,
|
325 |
+
"eval_f1": 0.8120431442321697,
|
326 |
+
"eval_loss": 0.7826108336448669,
|
327 |
+
"eval_precision": 0.8202960014382004,
|
328 |
+
"eval_recall": 0.8065212031558185,
|
329 |
+
"eval_runtime": 24.7019,
|
330 |
+
"eval_samples_per_second": 656.791,
|
331 |
+
"eval_steps_per_second": 27.366,
|
332 |
+
"step": 9000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 3.12,
|
336 |
+
"learning_rate": 1.0441666666666667e-05,
|
337 |
+
"loss": 0.1855,
|
338 |
+
"step": 9500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 3.12,
|
342 |
+
"eval_accuracy": 0.8140409270216963,
|
343 |
+
"eval_f1": 0.8173959290765784,
|
344 |
+
"eval_loss": 1.0370513200759888,
|
345 |
+
"eval_precision": 0.8233538681349268,
|
346 |
+
"eval_recall": 0.8140409270216963,
|
347 |
+
"eval_runtime": 24.6749,
|
348 |
+
"eval_samples_per_second": 657.51,
|
349 |
+
"eval_steps_per_second": 27.396,
|
350 |
+
"step": 9500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 3.29,
|
354 |
+
"learning_rate": 8.358333333333333e-06,
|
355 |
+
"loss": 0.1571,
|
356 |
+
"step": 10000
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 3.29,
|
360 |
+
"eval_accuracy": 0.8128081854043393,
|
361 |
+
"eval_f1": 0.8173020798805183,
|
362 |
+
"eval_loss": 1.036438226699829,
|
363 |
+
"eval_precision": 0.8246320290318612,
|
364 |
+
"eval_recall": 0.8128081854043393,
|
365 |
+
"eval_runtime": 24.6314,
|
366 |
+
"eval_samples_per_second": 658.672,
|
367 |
+
"eval_steps_per_second": 27.445,
|
368 |
+
"step": 10000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 3.45,
|
372 |
+
"learning_rate": 6.275e-06,
|
373 |
+
"loss": 0.1608,
|
374 |
+
"step": 10500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 3.45,
|
378 |
+
"eval_accuracy": 0.8108357988165681,
|
379 |
+
"eval_f1": 0.8154023680396078,
|
380 |
+
"eval_loss": 1.0521161556243896,
|
381 |
+
"eval_precision": 0.8221458981635473,
|
382 |
+
"eval_recall": 0.8108357988165681,
|
383 |
+
"eval_runtime": 24.6401,
|
384 |
+
"eval_samples_per_second": 658.44,
|
385 |
+
"eval_steps_per_second": 27.435,
|
386 |
+
"step": 10500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 3.62,
|
390 |
+
"learning_rate": 4.191666666666667e-06,
|
391 |
+
"loss": 0.1542,
|
392 |
+
"step": 11000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 3.62,
|
396 |
+
"eval_accuracy": 0.8197115384615384,
|
397 |
+
"eval_f1": 0.8199536621312183,
|
398 |
+
"eval_loss": 1.108322262763977,
|
399 |
+
"eval_precision": 0.8205846609719522,
|
400 |
+
"eval_recall": 0.8197115384615384,
|
401 |
+
"eval_runtime": 24.5935,
|
402 |
+
"eval_samples_per_second": 659.687,
|
403 |
+
"eval_steps_per_second": 27.487,
|
404 |
+
"step": 11000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 3.78,
|
408 |
+
"learning_rate": 2.108333333333333e-06,
|
409 |
+
"loss": 0.1561,
|
410 |
+
"step": 11500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 3.78,
|
414 |
+
"eval_accuracy": 0.8138560157790927,
|
415 |
+
"eval_f1": 0.8166825272884544,
|
416 |
+
"eval_loss": 1.0635404586791992,
|
417 |
+
"eval_precision": 0.8205938348020483,
|
418 |
+
"eval_recall": 0.8138560157790927,
|
419 |
+
"eval_runtime": 24.8393,
|
420 |
+
"eval_samples_per_second": 653.159,
|
421 |
+
"eval_steps_per_second": 27.215,
|
422 |
+
"step": 11500
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 3.94,
|
426 |
+
"learning_rate": 2.916666666666667e-08,
|
427 |
+
"loss": 0.1415,
|
428 |
+
"step": 12000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 3.94,
|
432 |
+
"eval_accuracy": 0.815396942800789,
|
433 |
+
"eval_f1": 0.8176978993348879,
|
434 |
+
"eval_loss": 1.0898783206939697,
|
435 |
+
"eval_precision": 0.8208248888308868,
|
436 |
+
"eval_recall": 0.815396942800789,
|
437 |
+
"eval_runtime": 24.6997,
|
438 |
+
"eval_samples_per_second": 656.85,
|
439 |
+
"eval_steps_per_second": 27.369,
|
440 |
+
"step": 12000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 3.94,
|
444 |
+
"step": 12000,
|
445 |
+
"total_flos": 1.4832731619013427e+17,
|
446 |
+
"train_loss": 0.37884856541951495,
|
447 |
+
"train_runtime": 3446.9333,
|
448 |
+
"train_samples_per_second": 167.105,
|
449 |
+
"train_steps_per_second": 3.481
|
450 |
+
}
|
451 |
+
],
|
452 |
+
"max_steps": 12000,
|
453 |
+
"num_train_epochs": 4,
|
454 |
+
"total_flos": 1.4832731619013427e+17,
|
455 |
+
"trial_name": null,
|
456 |
+
"trial_params": null
|
457 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e629a85d11014bed4fb4099bbcedecc04daead523e24b38fb4e2c394f89df7a2
|
3 |
+
size 3375
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|