Add new model
Browse files- CECorrelationEvaluator_sts-dev_results.csv +5 -0
- CECorrelationEvaluator_sts-test_policy_results.csv +2 -0
- CECorrelationEvaluator_sts-test_results.csv +2 -0
- config.json +32 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
CECorrelationEvaluator_sts-dev_results.csv
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epoch,steps,Pearson_Correlation,Spearman_Correlation
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0,-1,0.8970516964699288,0.8914916964142026
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1,-1,0.8993776196267368,0.9064230109307324
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2,-1,0.9112310272895877,0.9145400783018395
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3,-1,0.9136295529376905,0.9172520996199935
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CECorrelationEvaluator_sts-test_policy_results.csv
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epoch,steps,Pearson_Correlation,Spearman_Correlation
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-1,-1,0.9021306903889474,0.8994972489837353
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CECorrelationEvaluator_sts-test_results.csv
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epoch,steps,Pearson_Correlation,Spearman_Correlation
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-1,-1,0.9299993471330533,0.9289185805444574
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config.json
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{
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"_name_or_path": "jinmang2/kpfbert",
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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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"classifier_dropout": null,
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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": "LABEL_0"
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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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"LABEL_0": 0
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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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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.6.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 36440
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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:bcc84b8bf99196b3d8da0e5cff97301175ac3da4126d60979f5312d79bdf4753
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size 456201481
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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.json
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "do_basic_tokenize": true, "never_split": null, "special_tokens_map_file": null, "name_or_path": "jinmang2/kpfbert", "tokenizer_class": "BertTokenizer"}
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vocab.txt
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