Commit
·
b2fcc0d
1
Parent(s):
0c4c063
Model
Browse files- config.json +34 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tb/events.out.tfevents.1688906412.asier-pc.14041.0 +3 -0
- test_results.json +10 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- trainer_state.json +195 -0
- valid_results.json +10 -0
- vocab.txt +0 -0
config.json
ADDED
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{
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"_name_or_path": "ixa-ehu/berteus-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"finetuning_task": "stsb",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 3,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.30.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50099
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c5c752db733fff267d87c1ac388efa0678ad2a65bd93654551864a43890e2ae
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size 498145397
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special_tokens_map.json
ADDED
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tb/events.out.tfevents.1688906412.asier-pc.14041.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b649312dcc1398ebe935318af31177e4e24e574fa08a19b47982fae4b8d1109d
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size 10334
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test_results.json
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{
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"eval_combined_score": 0.9103811678023414,
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"eval_loss": 0.34662991762161255,
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"eval_pearson": 0.9178814188008078,
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"eval_runtime": 10.2029,
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"eval_samples_per_second": 85.466,
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"eval_spearmanr": 0.9028809168038749,
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"eval_steps_per_second": 10.683,
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"test_samples_stsb": 872
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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trainer_state.json
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| 165 |
+
"learning_rate": 0.0,
|
| 166 |
+
"loss": 0.0449,
|
| 167 |
+
"step": 2180
|
| 168 |
+
},
|
| 169 |
+
{
|
| 170 |
+
"epoch": 10.0,
|
| 171 |
+
"eval_combined_score": 0.9135991932046025,
|
| 172 |
+
"eval_loss": 0.3487534821033478,
|
| 173 |
+
"eval_pearson": 0.917271052630473,
|
| 174 |
+
"eval_runtime": 10.8295,
|
| 175 |
+
"eval_samples_per_second": 80.428,
|
| 176 |
+
"eval_spearmanr": 0.9099273337787319,
|
| 177 |
+
"eval_steps_per_second": 10.065,
|
| 178 |
+
"step": 2180
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 10.0,
|
| 182 |
+
"step": 2180,
|
| 183 |
+
"total_flos": 1.834393807540224e+16,
|
| 184 |
+
"train_loss": 0.2544048738042149,
|
| 185 |
+
"train_runtime": 2592.0512,
|
| 186 |
+
"train_samples_per_second": 26.898,
|
| 187 |
+
"train_steps_per_second": 0.841
|
| 188 |
+
}
|
| 189 |
+
],
|
| 190 |
+
"max_steps": 2180,
|
| 191 |
+
"num_train_epochs": 10,
|
| 192 |
+
"total_flos": 1.834393807540224e+16,
|
| 193 |
+
"trial_name": null,
|
| 194 |
+
"trial_params": null
|
| 195 |
+
}
|
valid_results.json
ADDED
|
@@ -0,0 +1,10 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"eval_combined_score": 0.9135991932046025,
|
| 3 |
+
"eval_loss": 0.3487534821033478,
|
| 4 |
+
"eval_pearson": 0.917271052630473,
|
| 5 |
+
"eval_runtime": 10.5874,
|
| 6 |
+
"eval_samples": 871,
|
| 7 |
+
"eval_samples_per_second": 82.268,
|
| 8 |
+
"eval_spearmanr": 0.9099273337787319,
|
| 9 |
+
"eval_steps_per_second": 10.295
|
| 10 |
+
}
|
vocab.txt
ADDED
|
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|
|
|