Trousers22
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Commit
•
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Latest version
Browse files- final_biobert/config.json +27 -0
- final_biobert/pytorch_model.bin +3 -0
- final_biobert/training_args.bin +3 -0
- final_bluebert/config.json +26 -0
- final_bluebert/pytorch_model.bin +3 -0
- final_bluebert/training_args.bin +3 -0
- final_clinicalbert/config.json +26 -0
- final_clinicalbert/pytorch_model.bin +3 -0
- final_clinicalbert/training_args.bin +3 -0
- final_pubmedbert/config.json +26 -0
- final_pubmedbert/pytorch_model.bin +3 -0
- final_pubmedbert/training_args.bin +3 -0
- final_scibert/config.json +26 -0
- final_scibert/pytorch_model.bin +3 -0
- final_scibert/training_args.bin +3 -0
final_biobert/config.json
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{
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"_name_or_path": "dmis-lab/biobert-v1.1",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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final_biobert/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:37ef2947f08b6729af2b33eed2a3d7235ee522ef2c47a2071c739458c539613c
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size 433318253
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final_biobert/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f4a44379e411b4d4550aa17b0f9ec8e3b4d9bccb4326d35ee2ae95cb2bf6fe2
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size 3311
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final_bluebert/config.json
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{
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"_name_or_path": "bionlp/bluebert_pubmed_mimic_uncased_L-12_H-768_A-12",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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final_bluebert/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ed7aa015c2915342bb6d84a6add0edd671129927d3d5215c4ddf5a43be0b6635
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size 438006125
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final_bluebert/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:265f48276ce63f540d5a98972b47d35ad4aea0a51ad4d9466c598d3ced0c5ac5
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size 3311
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final_clinicalbert/config.json
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{
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"_name_or_path": "emilyalsentzer/Bio_ClinicalBERT",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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final_clinicalbert/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5b6e3b663daa6a1bccde1a2806894cdd42b611a610f5920bc9d5c5afb920a905
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size 433318253
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final_clinicalbert/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7972e83fb3efe46ceb4d5e287e461efb96fd9ca5c1d15f333fcfa4b4d4f602cd
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size 3375
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final_pubmedbert/config.json
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{
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"_name_or_path": "microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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final_pubmedbert/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d8dd1ac8f03fe66e77f2c1800f3ac8ec9a9b1f8fba19a9e2e6408b43aa42a90f
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size 438006125
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final_pubmedbert/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:80b55bac030d6c3061584520c25eaab4e3e7e398c5b5c0ad03d1cfba0acbfd86
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size 3311
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final_scibert/config.json
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{
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"_name_or_path": "allenai/scibert_scivocab_uncased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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+
"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31090
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}
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final_scibert/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:23ba89b260a7e67c595377d599a1022beced1124a2ad928379d318a6877c46c5
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size 439751021
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final_scibert/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e1aee63a21c08db43027d6baa447295c617fb42c006afff9d4976a6b802efaa8
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size 3311
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