Upload LayoutLMv3ForSequenceClassification
Browse files- config.json +64 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "microsoft/layoutlmv3-base",
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"architectures": [
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"LayoutLMv3ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"coordinate_size": 128,
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"eos_token_id": 2,
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"has_relative_attention_bias": true,
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"has_spatial_attention_bias": true,
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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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"id2label": {
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"0": "Clinical Notes",
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"1": "Patient Provided",
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"2": "Consent",
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"3": "Radiology",
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"4": "Diagnostic",
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"5": "Disability",
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"6": "Laboratory",
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"7": "Orders",
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"8": "Registration",
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"9": "Insurance"
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},
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"initializer_range": 0.02,
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"input_size": 224,
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"intermediate_size": 3072,
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"label2id": {
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"Clinical Notes": 0,
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"Consent": 2,
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"Diagnostic": 4,
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"Disability": 5,
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"Insurance": 9,
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"Laboratory": 6,
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"Orders": 7,
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"Patient Provided": 1,
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"Radiology": 3,
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"Registration": 8
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},
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"layer_norm_eps": 1e-05,
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"max_2d_position_embeddings": 1024,
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"max_position_embeddings": 514,
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"max_rel_2d_pos": 256,
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"max_rel_pos": 128,
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"model_type": "layoutlmv3",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"patch_size": 16,
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"rel_2d_pos_bins": 64,
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"rel_pos_bins": 32,
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"second_input_size": 112,
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"shape_size": 128,
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"text_embed": true,
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"torch_dtype": "float32",
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"transformers_version": "4.27.2",
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"type_vocab_size": 1,
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"visual_embed": true,
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"vocab_size": 50265
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3d34a396d7c267af8b1306249f94d553e7ad2b3dc4f3143d3e721f81c55411cc
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size 503777009
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