Add model weight and config
Browse files- all_results.json +14 -0
- config.json +40 -0
- eval_results.json +9 -0
- merges.txt +0 -0
- predict_results_None.txt +252 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +247 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
ADDED
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{
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"epoch": 20.0,
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"eval_accuracy": 0.8623978495597839,
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"eval_loss": 0.6752045750617981,
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"eval_runtime": 8.1962,
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"eval_samples": 734,
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"eval_samples_per_second": 89.554,
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"eval_steps_per_second": 44.777,
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"train_loss": 0.18581116994222005,
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"train_runtime": 2514.2374,
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"train_samples": 2889,
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"train_samples_per_second": 22.981,
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"train_steps_per_second": 1.432
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}
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config.json
ADDED
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{
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"_name_or_path": "roberta-large-mnli",
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"_num_labels": 3,
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": 0,
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"1": 1,
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"2": 2
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"0": 0,
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"1": 1,
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"2": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.10.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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eval_results.json
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{
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"epoch": 20.0,
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"eval_accuracy": 0.8623978495597839,
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"eval_loss": 0.6752045750617981,
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"eval_runtime": 8.1962,
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"eval_samples": 734,
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"eval_samples_per_second": 89.554,
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"eval_steps_per_second": 44.777
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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predict_results_None.txt
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| 230 |
+
"step": 3600
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 20.0,
|
| 234 |
+
"step": 3600,
|
| 235 |
+
"total_flos": 1.3459697175036672e+16,
|
| 236 |
+
"train_loss": 0.18581116994222005,
|
| 237 |
+
"train_runtime": 2514.2374,
|
| 238 |
+
"train_samples_per_second": 22.981,
|
| 239 |
+
"train_steps_per_second": 1.432
|
| 240 |
+
}
|
| 241 |
+
],
|
| 242 |
+
"max_steps": 3600,
|
| 243 |
+
"num_train_epochs": 20,
|
| 244 |
+
"total_flos": 1.3459697175036672e+16,
|
| 245 |
+
"trial_name": null,
|
| 246 |
+
"trial_params": null
|
| 247 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5863e266a34ca57f81dba3f859ac9e02d43fd6d5c3b46b3d8f7b926485dd16a8
|
| 3 |
+
size 2671
|
vocab.json
ADDED
|
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|
|