upload model
Browse files- all_results.json +5 -0
- config.json +33 -0
- openvino_model.bin +3 -0
- openvino_model.xml +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +14 -0
- vocab.txt +0 -0
all_results.json
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{
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"eval_exact_match": 83.97350993377484,
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"eval_f1": 90.90127007007351,
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"eval_samples": 10784
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}
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config.json
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{
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"_name_or_path": "neuralmagic/mobilebert-uncased-finetuned-squadv1",
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"architectures": [
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"NNCFNetwork"
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],
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"attention_probs_dropout_prob": 0.0,
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"classifier_activation": false,
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"classifier_dropout": null,
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"embedding_size": 128,
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"torch_dtype": "float32",
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"transformers_version": "4.26.0",
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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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"vocab_size": 30522
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}
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openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c274a4b1512714a10db5a2a9ff2b7c83b669e1a8947a0bdad9a5757d5a1d37c1
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size 98335536
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openvino_model.xml
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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:cd077502b18d20b118c7354c20df58fa98ea1fcdaca56a3963a790b9dc31bc48
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size 98738791
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "neuralmagic/mobilebert-uncased-finetuned-squadv1",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": null,
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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