| { | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
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| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "negative", | |
| "1": "neutral", | |
| "2": "positive" | |
| }, | |
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| "intermediate_size": 3072, | |
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| "neutral": 1, | |
| "positive": 2 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.14.1", | |
| "type_vocab_size": 2, | |
| "vocab_size": 30873 | |
| } | |