soda-embed / config.json
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model weights, checkpoint 210000oapmc_twin_concat_pubmedbert_vicreg_contrast,
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{
"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",
"architectures": [
"Twin"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"keys_to_ignore_at_inference": [
"representations"
],
"layer_norm_eps": 1e-12,
"loss_coeff": {
"contrast_loss": 1.0,
"cosine_loss": 1.0,
"cov_loss": 1.0,
"cov_xy_loss": 1.0,
"diag_xy_loss": 1.0,
"dot_loss": 1.0,
"mse_loss": 1.0,
"std_loss": 1.0
},
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"pretrained": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",
"torch_dtype": "float32",
"transformers_version": "4.31.0",
"twin_loss": [
"dot_loss",
"cov_loss",
"std_loss",
"contrast_loss"
],
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}