cciboglu/bothspeech_detection_electra_pytorch
05
1{2 "_name_or_path": "google/electra-base-generator",3 "architectures": [4 "ElectraForSequenceClassification"5 ],6 "attention_probs_dropout_prob": 0.1,7 "classifier_dropout": null,8 "embedding_size": 768,9 "hidden_act": "gelu",10 "hidden_dropout_prob": 0.1,11 "hidden_size": 256,12 "id2label": {13 "0": "NEGATIVE",14 "1": "POSITIVE"15 },16 "initializer_range": 0.02,17 "intermediate_size": 1024,18 "label2id": {19 "NEGATIVE": 0,20 "POSITIVE": 121 },22 "layer_norm_eps": 1e-12,23 "max_position_embeddings": 512,24 "model_type": "electra",25 "num_attention_heads": 4,26 "num_hidden_layers": 12,27 "pad_token_id": 0,28 "position_embedding_type": "absolute",29 "problem_type": "single_label_classification",30 "summary_activation": "gelu",31 "summary_last_dropout": 0.1,32 "summary_type": "first",33 "summary_use_proj": true,34 "torch_dtype": "float32",35 "transformers_version": "4.47.1",36 "type_vocab_size": 2,37 "use_cache": true,38 "vocab_size": 3052239}40 