Add trained model
Browse files- config.json +30 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "HooshvareLab/bert-fa-base-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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"finetuning_task": "wikinli",
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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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"id2label": {
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"0": "contradiction",
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"1": "entailment"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"contradiction": 0,
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"entailment": 1
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},
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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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"type_vocab_size": 2,
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"vocab_size": 100000
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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 sha256:832ee890562160ed5397ed6a8a6986d9ca7e1f17ac6fa9e70441cfee0fb3fdf2
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size 651458839
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "HooshvareLab/bert-fa-base-uncased", "do_basic_tokenize": true, "never_split": null}
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vocab.txt
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