File size: 1,577 Bytes
dcdb5b8 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
{
"_name_or_path": "intfloat/e5-large-v2",
"adaptive": true,
"architectures": [
"LSGBertModel"
],
"attention_probs_dropout_prob": 0.1,
"auto_map": {
"AutoConfig": "modeling_lsg_bert.LSGBertConfig",
"AutoModel": "modeling_lsg_bert.LSGBertModel",
"AutoModelForCausalLM": "modeling_lsg_bert.LSGBertLMHeadModel",
"AutoModelForMaskedLM": "modeling_lsg_bert.LSGBertForMaskedLM",
"AutoModelForMultipleChoice": "modeling_lsg_bert.LSGBertForMultipleChoice",
"AutoModelForPreTraining": "modeling_lsg_bert.LSGBertForPreTraining",
"AutoModelForQuestionAnswering": "modeling_lsg_bert.LSGBertForQuestionAnswering",
"AutoModelForSequenceClassification": "modeling_lsg_bert.LSGBertForSequenceClassification",
"AutoModelForTokenClassification": "modeling_lsg_bert.LSGBertForTokenClassification"
},
"base_model_prefix": "lsg",
"block_size": 128,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"initializer_range": 0.02,
"intermediate_size": 4096,
"layer_norm_eps": 1e-12,
"lsh_num_pre_rounds": 1,
"mask_first_token": false,
"max_position_embeddings": 4096,
"model_type": "bert",
"num_attention_heads": 16,
"num_global_tokens": 1,
"num_hidden_layers": 24,
"pad_token_id": 0,
"pool_with_global": true,
"position_embedding_type": "absolute",
"sparse_block_size": 128,
"sparsity_factor": 2,
"sparsity_type": "norm",
"torch_dtype": "float32",
"transformers_version": "4.30.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}
|