Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +78 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +13 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitignore
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checkpoint-*/
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config.json
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{
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"_name_or_path": "bert-base-uncased",
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"architectures": [
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"BertForTokenClassification"
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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": "Appeal_to_Fear-Prejudice",
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"1": "0",
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"10": "Appeal_to_Authority",
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"11": "Obfuscation-Vagueness-Confusion",
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"12": "Causal_Oversimplification",
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"13": "False_Dilemma-No_Choice",
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"14": "Whataboutism",
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"15": "Repetition",
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"16": "Conversation_Killer",
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"17": "Appeal_to_Hypocrisy",
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"18": "Appeal_to_Popularity",
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"19": "Straw_Man",
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"2": "Name_Calling-Labeling",
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"20": "Appeal_to_Time",
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"21": "Consequential_Oversimplification",
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"22": "Red_Herring",
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"23": "Guilt_by_Association",
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"3": "Loaded_Language",
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"4": "Questioning_the_Reputation",
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"5": "Appeal_to_Values",
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"6": "Flag_Waving",
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"7": "Doubt",
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"8": "Exaggeration-Minimisation",
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"9": "Slogans"
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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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"0": "1",
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"Appeal_to_Authority": "10",
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"Appeal_to_Fear-Prejudice": "0",
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"Appeal_to_Hypocrisy": "17",
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"Appeal_to_Popularity": "18",
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"Appeal_to_Time": "20",
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"Appeal_to_Values": "5",
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"Causal_Oversimplification": "12",
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"Consequential_Oversimplification": "21",
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"Conversation_Killer": "16",
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"Doubt": "7",
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"Exaggeration-Minimisation": "8",
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"False_Dilemma-No_Choice": "13",
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"Flag_Waving": "6",
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"Guilt_by_Association": "23",
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"Loaded_Language": "3",
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"Name_Calling-Labeling": "2",
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"Obfuscation-Vagueness-Confusion": "11",
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"Questioning_the_Reputation": "4",
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"Red_Herring": "22",
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"Repetition": "15",
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"Slogans": "9",
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"Straw_Man": "19",
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"Whataboutism": "14"
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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": "4.30.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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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:a6c3e0aba07cf1b66f464c5b0cd5c522ee3618721f4293120b513507622884e0
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size 435713002
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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": 512,
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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_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a82e163fcb28f92a16517cd4179b293b1667fc3ec061bcb36d301d6a7d33742
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size 4408
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vocab.txt
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