| { | |
| "_name_or_path": "LYTinn/lstm-finetuning-sentiment-model-3000-samples", | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
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| "bidirectional": true, | |
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| "finetuning_task": "opentable", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
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| "hidden_size": 300, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 1, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.24.0", | |
| "type_vocab_size": 2, | |
| "update_embeddings": false, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |