Sentence Similarity
sentence-transformers
PyTorch
English
bert
feature-extraction
mteb
custom_code
Eval Results
6 papers
lodestone-base-4096-v1 / config.json
dylanAtHum's picture
Using seq_length Config Rather than max_position_embeddings
5e05a52 unverified
{
"_name_or_path": "hum-lodestone-v1",
"alibi_starting_size": 4096,
"seq_length": 4096,
"architectures": [
"BertModel"
],
"attention_probs_dropout_prob": 0.0,
"auto_map": {
"AutoConfig": "configuration_bert.BertConfig",
"AutoModel": "bert_layers.BertModel",
"AutoModelForMaskedLM": "bert_layers.BertForMaskedLM"
},
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"tokenizer_class": "BertTokenizerFast",
"torch_dtype": "bfloat16",
"transformers_version": "4.28.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30528
}