Training completed!
Browse files- .gitignore +1 -0
- config.json +39 -0
- pytorch_model.bin +3 -0
- runs/Mar27_03-03-02_tausif-MS-7E06/1711488787.245294/events.out.tfevents.1711488787.tausif-MS-7E06.37524.1 +3 -0
- runs/Mar27_03-03-02_tausif-MS-7E06/events.out.tfevents.1711488787.tausif-MS-7E06.37524.0 +3 -0
- runs/Mar27_03-04-47_tausif-MS-7E06/1711488890.6567297/events.out.tfevents.1711488890.tausif-MS-7E06.38007.1 +3 -0
- runs/Mar27_03-04-47_tausif-MS-7E06/events.out.tfevents.1711488890.tausif-MS-7E06.38007.0 +3 -0
- runs/Mar27_03-07-51_tausif-MS-7E06/1711489075.3082418/events.out.tfevents.1711489075.tausif-MS-7E06.38290.1 +3 -0
- runs/Mar27_03-07-51_tausif-MS-7E06/events.out.tfevents.1711489075.tausif-MS-7E06.38290.0 +3 -0
- runs/Mar27_03-08-40_tausif-MS-7E06/1711489124.5709717/events.out.tfevents.1711489124.tausif-MS-7E06.38552.1 +3 -0
- runs/Mar27_03-08-40_tausif-MS-7E06/events.out.tfevents.1711489124.tausif-MS-7E06.38552.0 +3 -0
- runs/Mar27_03-09-12_tausif-MS-7E06/1711489156.6079671/events.out.tfevents.1711489156.tausif-MS-7E06.38843.1 +3 -0
- runs/Mar27_03-09-12_tausif-MS-7E06/events.out.tfevents.1711489156.tausif-MS-7E06.38843.0 +3 -0
- runs/Mar27_03-12-30_tausif-MS-7E06/1711489353.5179164/events.out.tfevents.1711489353.tausif-MS-7E06.39181.1 +3 -0
- runs/Mar27_03-12-30_tausif-MS-7E06/events.out.tfevents.1711489353.tausif-MS-7E06.39181.0 +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -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": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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},
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"initializer_range": 0.02,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.16.2",
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"vocab_size": 30522
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}
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pytorch_model.bin
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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": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}
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training_args.bin
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vocab.txt
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