simonycl commited on
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a5f4baf
1 Parent(s): e9fecec

End of training

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Files changed (3) hide show
  1. config.json +14 -13
  2. pytorch_model.bin +2 -2
  3. training_args.bin +1 -1
config.json CHANGED
@@ -1,27 +1,28 @@
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  {
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- "_name_or_path": "bert-base-uncased",
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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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- "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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  "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": "4.32.0.dev0",
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- "type_vocab_size": 2,
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  "use_cache": true,
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- "vocab_size": 30522
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  }
 
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  {
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+ "_name_or_path": "roberta-large",
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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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  "hidden_act": "gelu",
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  "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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  "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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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": "4.32.0.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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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
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  size 4027