Squeeze12 / config.json
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{
"_name_or_path": "squeezebert/squeezebert-uncased",
"architectures": [
"SqueezeBertForMaskedLM"
],
"attention_probs_dropout_prob": 0.1,
"embedding_size": 768,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_groups": 4,
"intermediate_size": 3072,
"k_groups": 4,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "squeezebert",
"num_attention_heads": 12,
"num_hidden_layers": 10,
"output_groups": 4,
"pad_token_id": 0,
"post_attention_groups": 1,
"q_groups": 4,
"torch_dtype": "float32",
"transformers_version": "4.17.0",
"type_vocab_size": 2,
"v_groups": 4,
"vocab_size": 30528
}