hf-tiny-model-private/tiny-random-AlbertForSequenceClassification

1{2  "_name_or_path": "tiny_models/albert/AlbertForSequenceClassification",3  "architectures": [4    "AlbertForSequenceClassification"5  ],6  "attention_probs_dropout_prob": 0.1,7  "bos_token_id": 2,8  "classifier_dropout_prob": 0.1,9  "embedding_size": 128,10  "eos_token_id": 3,11  "hidden_act": "gelu",12  "hidden_dropout_prob": 0.1,13  "hidden_size": 36,14  "initializer_range": 0.02,15  "inner_group_num": 1,16  "intermediate_size": 37,17  "layer_norm_eps": 1e-12,18  "max_position_embeddings": 512,19  "model_type": "albert",20  "num_attention_heads": 6,21  "num_hidden_groups": 6,22  "num_hidden_layers": 6,23  "pad_token_id": 0,24  "position_embedding_type": "absolute",25  "torch_dtype": "float32",26  "transformers_version": "4.28.0.dev0",27  "type_vocab_size": 16,28  "vocab_size": 3000029}30