add model first
Browse files- checkpoint-100/config.json +0 -36
- checkpoint-100/pytorch_model.bin +0 -3
- checkpoint-100/training_args.bin +0 -3
- checkpoint-150/config.json +0 -36
- checkpoint-150/pytorch_model.bin +0 -3
- checkpoint-150/training_args.bin +0 -3
- checkpoint-200/config.json +0 -36
- checkpoint-200/pytorch_model.bin +0 -3
- checkpoint-200/training_args.bin +0 -3
- checkpoint-250/config.json +0 -36
- checkpoint-250/pytorch_model.bin +0 -3
- checkpoint-250/training_args.bin +0 -3
- checkpoint-300/config.json +0 -36
- checkpoint-300/pytorch_model.bin +0 -3
- checkpoint-300/training_args.bin +0 -3
- checkpoint-350/config.json +0 -36
- checkpoint-350/pytorch_model.bin +0 -3
- checkpoint-350/training_args.bin +0 -3
- checkpoint-400/config.json +0 -36
- checkpoint-400/pytorch_model.bin +0 -3
- checkpoint-400/training_args.bin +0 -3
- checkpoint-450/config.json +0 -36
- checkpoint-450/pytorch_model.bin +0 -3
- checkpoint-450/training_args.bin +0 -3
- checkpoint-50/config.json +0 -36
- checkpoint-50/pytorch_model.bin +0 -3
- checkpoint-50/training_args.bin +0 -3
checkpoint-100/config.json
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{
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "mrpc",
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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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"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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checkpoint-100/pytorch_model.bin
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checkpoint-100/training_args.bin
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checkpoint-150/config.json
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "mrpc",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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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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"num_labels": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id": 0,
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"torchscript": false,
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checkpoint-150/pytorch_model.bin
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checkpoint-150/training_args.bin
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checkpoint-200/config.json
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "mrpc",
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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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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"output_attentions": false,
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checkpoint-200/pytorch_model.bin
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checkpoint-200/training_args.bin
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checkpoint-250/config.json
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checkpoint-250/pytorch_model.bin
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checkpoint-250/training_args.bin
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checkpoint-300/config.json
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checkpoint-300/training_args.bin
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checkpoint-350/config.json
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