Upload 8 files
Browse files- config.json +32 -0
- eval_results.txt +2 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- training_progress_scores.csv +11 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "hfl/chinese-macbert-base",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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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"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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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.28.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 21128
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}
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eval_results.txt
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eval_pearson = 0.8323351192585464
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eval_spearman = 0.8348118322107717
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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:af65247f0b225b07646fcab99837da6f039a74edbea5b0dab5f29dce35aa5fde
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size 409140017
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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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"clean_up_tokenization_spaces": true,
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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": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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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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training_progress_scores.csv
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global_step,train_loss,eval_spearman,eval_pearson
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168,4.42560338973999,0.8280660598678765,0.8193452091263668
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336,3.3122735023498535,0.8174579848932694,0.8114318401195143
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504,3.190680503845215,0.8328903624646241,0.8266284251641203
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672,2.40781831741333,0.8331021122151344,0.8272735850749002
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840,2.0742573738098145,0.8345969044664151,0.8304554911160961
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1008,1.9106372594833374,0.8334601673436347,0.8278741728550059
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1176,1.474703073501587,0.8345961203285506,0.8310213875968886
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1344,1.3404971361160278,0.8343128271791778,0.8313033939377835
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1512,1.079366683959961,0.8348118322107717,0.8323351192585464
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1680,0.9464324116706848,0.8340774314316364,0.8319396531346465
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vocab.txt
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