Nonzerophilip
commited on
Commit
·
57ac1e3
1
Parent(s):
3863879
Training in progress, epoch 1
Browse files- .gitignore +1 -0
- config.json +53 -0
- pytorch_model.bin +3 -0
- runs/Jul08_12-53-06_Philips-MBP/1657277603.86707/events.out.tfevents.1657277603.Philips-MBP.27809.1 +3 -0
- runs/Jul08_12-53-06_Philips-MBP/events.out.tfevents.1657277603.Philips-MBP.27809.0 +3 -0
- runs/Jul08_12-54-39_Philips-MBP/1657277692.687834/events.out.tfevents.1657277692.Philips-MBP.27809.3 +3 -0
- runs/Jul08_12-54-39_Philips-MBP/1657282666.9644349/events.out.tfevents.1657282666.Philips-MBP.27809.5 +3 -0
- runs/Jul08_12-54-39_Philips-MBP/events.out.tfevents.1657277692.Philips-MBP.27809.2 +3 -0
- runs/Jul08_12-54-39_Philips-MBP/events.out.tfevents.1657282666.Philips-MBP.27809.4 +3 -0
- runs/Jul08_14-24-37_Philips-MBP/1657283113.882995/events.out.tfevents.1657283113.Philips-MBP.27809.7 +3 -0
- runs/Jul08_14-24-37_Philips-MBP/1657283939.3878279/events.out.tfevents.1657283939.Philips-MBP.27809.9 +3 -0
- runs/Jul08_14-24-37_Philips-MBP/events.out.tfevents.1657283113.Philips-MBP.27809.6 +3 -0
- runs/Jul08_14-24-37_Philips-MBP/events.out.tfevents.1657283939.Philips-MBP.27809.8 +3 -0
- runs/Jul08_15-10-50_Philips-MBP/1657285861.8755462/events.out.tfevents.1657285861.Philips-MBP.27809.11 +3 -0
- runs/Jul08_15-10-50_Philips-MBP/events.out.tfevents.1657285861.Philips-MBP.27809.10 +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": "KBLab/bert-base-swedish-cased-ner",
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"_num_labels": 14,
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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-PER",
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"10": "PRIS",
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"2": "I-PER",
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"3": "B-LOC",
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"4": "I-LOC",
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"5": "PHARMA_DRUGS",
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"6": "HEALTH",
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"7": "B-relation",
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"8": "I-ORG",
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"9": "B-ORG"
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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-LOC": "3",
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"B-ORG": "9",
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"B-PER": "1",
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"B-relation": "7",
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"HEALTH": "6",
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"I-LOC": "4",
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"I-ORG": "8",
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"I-PER": "2",
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"O": "0",
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"PHARMA_DRUGS": "5",
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"PRIS": "10"
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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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"output_past": true,
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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": "4.19.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50325
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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": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "keep_accents": true, "special_tokens_map_file": "/Users/philipbjornerud/.cache/huggingface/transformers/aa80e5892f921622ea264a43aab78eabb57100efc4b59643fe27f56f2041bdcb.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "KBLab/bert-base-swedish-cased-ner", "do_basic_tokenize": true, "never_split": null, "tokenizer_class": "BertTokenizer"}
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training_args.bin
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vocab.txt
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