| { | |
| "architectures": [ | |
| "DistilBertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "happy", | |
| "1": "sad", | |
| "2": "angry", | |
| "3": "neutral" | |
| }, | |
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| "intermediate_size": 3072, | |
| "label2id": { | |
| "angry": 2, | |
| "happy": 0, | |
| "neutral": 3, | |
| "sad": 1 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "distilbert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 6, | |
| "pad_token_id": 0, | |
| "qa_dropout": 0.1, | |
| "seq_classif_dropout": 0.2, | |
| "sinusoidal_pos_embds": false, | |
| "tie_weights_": true, | |
| "transformers_version": "4.35.0", | |
| "vocab_size": 30522 | |
| } |