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pet-1000-all

Text Classification
Transformers
PyTorch
bert
Model card Files
xet
 Community
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serfinxx commited on
Commit
43dc21f
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Initial commit

Browse files
Files changed (12) hide show
  1. config.json +28 -0
  2. eval_config.json +1 -0
  3. eval_logits.txt +739 -0
  4. predictions.jsonl +739 -0
  5. pytorch_model.bin +3 -0
  6. results.json +1 -0
  7. results.txt +1 -0
  8. special_tokens_map.json +1 -0
  9. tokenizer_config.json +1 -0
  10. train_config.json +1 -0
  11. vocab.txt +0 -0
  12. wrapper_config.json +1 -0
config.json ADDED
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+ {
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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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+ "directionality": "bidi",
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+ "finetuning_task": "idiom-detection",
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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": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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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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+ "pad_token_id": 0,
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+ "pooler_fc_size": 768,
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+ "pooler_num_attention_heads": 12,
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+ "pooler_num_fc_layers": 3,
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+ "pooler_size_per_head": 128,
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+ "pooler_type": "first_token_transform",
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+ "type_vocab_size": 2,
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+ "use_cache": false,
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+ "vocab_size": 119547
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+ }
eval_config.json ADDED
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+ {"device": "cuda", "n_gpu": 1, "per_gpu_eval_batch_size": 8, "metrics": ["f1-macro"], "decoding_strategy": "default", "priming": false}
eval_logits.txt ADDED
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