intention model uploaded
Browse files- README.md +12 -0
- config.json +32 -0
- pytorch_model.bin +3 -0
- tokenizer.json +0 -0
- vocab.txt +0 -0
README.md
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---
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language: en
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pipeline_tag: zero-shot-classification
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tags:
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- squeezebert
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datasets:
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- mulit_nli
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metrics:
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- accuracy
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---
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# SqueezeBERT
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config.json
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{
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 768,
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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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"max_position_embeddings": 512,
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"model_type": "squeezebert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"type_vocab_size": 2,
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"vocab_size": 30528,
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"q_groups": 4,
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"k_groups": 4,
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"v_groups": 4,
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"post_attention_groups": 1,
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"intermediate_groups": 4,
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"output_groups": 4,
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"num_labels": 3,
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"label2id": {
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"ENTAILMENT": 2,
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"NEUTRAL": 1,
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"CONTRADICTION": 0
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},
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"id2label": {
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"2": "ENTAILMENT",
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"1": "NEUTRAL",
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"0": "CONTRADICTION"
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}
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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 sha256:1b283a8fd86b1916f18e52a9031f39353d43906b9bbe659edfd452f60b69f4e9
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size 204422071
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tokenizer.json
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vocab.txt
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