Training in progress epoch 0
Browse files- config.json +59 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "havens2/scBERT_SER",
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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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"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": "O",
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"1": "B-MethodName",
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"2": "I-MethodName",
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"3": "B-HyperparameterName",
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"4": "I-HyperparameterName",
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"5": "B-HyperparameterValue",
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"6": "I-HyperparameterValue",
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"7": "B-MetricName",
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"8": "I-MetricName",
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"9": "B-MetricValue",
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"10": "I-MetricValue",
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"11": "B-TaskName",
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"12": "I-TaskName",
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"13": "B-DatasetName",
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"14": "I-DatasetName"
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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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"B-DatasetName": 13,
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"B-HyperparameterName": 3,
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"B-HyperparameterValue": 5,
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"B-MethodName": 1,
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"B-MetricName": 7,
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"B-MetricValue": 9,
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"B-TaskName": 11,
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"I-DatasetName": 14,
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"I-HyperparameterName": 4,
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"I-HyperparameterValue": 6,
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"I-MethodName": 2,
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"I-MetricName": 8,
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"I-MetricValue": 10,
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"I-TaskName": 12,
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"O": 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": "4.23.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 31090
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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 sha256:93571adbb632b445026796c8d11c8bb596f2d559d1c5e6f7765275368f514ae9
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size 437429805
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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": "havens2/scBERT_SER",
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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": null,
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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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vocab.txt
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