Training in progress, step 500
Browse files- .gitignore +1 -0
- config.json +50 -0
- pytorch_model.bin +3 -0
- runs/Nov10_05-37-23_74b0a1549e77/1668059249.8482645/events.out.tfevents.1668059249.74b0a1549e77.79.1 +3 -0
- runs/Nov10_05-37-23_74b0a1549e77/events.out.tfevents.1668059249.74b0a1549e77.79.0 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -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": "microsoft/MiniLM-L12-H384-uncased",
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"id2label": {
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"0": "sadness",
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"1": "joy",
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"2": "love",
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"3": "anger",
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"4": "fear",
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"5": "surprise",
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"6": "excitement",
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"7": "gratitude",
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"8": "curiosity",
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"9": "caring"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"anger": 3,
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"caring": 9,
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"curiosity": 8,
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"excitement": 6,
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"fear": 4,
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"gratitude": 7,
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"joy": 1,
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"love": 2,
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"sadness": 0,
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"surprise": 5
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.24.0",
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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:b24fdd6f143ae694a3efdb30f7a9f2fbf38b75fa9334a9aec47920304ac8e3df
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size 133526381
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runs/Nov10_05-37-23_74b0a1549e77/1668059249.8482645/events.out.tfevents.1668059249.74b0a1549e77.79.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b6027203a293337167402ce097ba49f1983ee12c6cd5a06c7f9c7909c08893a
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size 5532
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runs/Nov10_05-37-23_74b0a1549e77/events.out.tfevents.1668059249.74b0a1549e77.79.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0abc1b7ffe6209d789c96d81ccd1beb37517ecdf8079582bfc326a804331b6f
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size 40
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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_basic_tokenize": true,
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"name_or_path": "microsoft/MiniLM-L12-H384-uncased",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "/root/.cache/huggingface/hub/models--microsoft--MiniLM-L12-H384-uncased/snapshots/44acabbec0ef496f6dbc93adadea57f376b7c0ec/special_tokens_map.json",
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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:ce83b9ef64361ec43f2ba500c932d97977ba75d1addf2bea17220991c5dd5dd6
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size 3439
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vocab.txt
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