add model checkpoint
Browse files- config.json +38 -0
- pytorch_model.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"_num_labels": 2,
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"directionality": "bidi",
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"label2id": {
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"NOCAUSAL": 0,
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"SUFFICIENT": 1
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},
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"id2label": {
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"0": "NOCAUSAL",
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"1": "SUFFICIENT"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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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": 16,
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"num_hidden_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"type_vocab_size": 2,
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"transformers_version": "4.20.0",
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"vocab_size": 21128
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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 sha256:913752f95f41d039b861d25226a1f92666fc27d1c851a51fe716ea65ff8af31f
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size 1302228397
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vocab.txt
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The diff for this file is too large to render.
See raw diff
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