Update to complete model with 57,768 embedded prototypes
Browse files- config.json +18 -5
config.json
CHANGED
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@@ -1,13 +1,25 @@
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{
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"model_type": "
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"architecture": "
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"base_model": "emilyalsentzer/Bio_ClinicalBERT",
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"embedding_dim": 768,
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"num_medical_codes":
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"performance": {
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"top_1_accuracy": 0.463,
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"training_approach": "few_shot_learning",
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"optimization_phase": 2
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},
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"tokenizer_class": "BertTokenizer",
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"max_position_embeddings": 512,
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@@ -20,5 +32,6 @@
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"layer_norm_eps": 1e-12,
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"pad_token_id": 0,
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"gradient_checkpointing": false,
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"use_cache": true
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}
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{
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"model_type": "medicoder_complete",
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"architecture": "prototypical_network_with_embedded_prototypes",
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"base_model": "emilyalsentzer/Bio_ClinicalBERT",
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"embedding_dim": 768,
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"num_medical_codes": 57768,
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"num_prototypes": 57768,
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"performance": {
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"top_1_accuracy": 0.463,
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"training_approach": "few_shot_learning",
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"optimization_phase": 2,
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"contains_prototypes": true,
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"deployment_ready": true
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},
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"prototype_info": {
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"prototype_shape": [
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57768,
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768
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],
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"total_parameters": "~445M",
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"self_contained": true,
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"no_dataset_required": true
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},
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"tokenizer_class": "BertTokenizer",
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"max_position_embeddings": 512,
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"layer_norm_eps": 1e-12,
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"pad_token_id": 0,
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"gradient_checkpointing": false,
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"use_cache": true,
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"version": "4.0_complete"
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}
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