Training complete
Browse files- README.md +48 -0
- config.json +56 -0
- model.safetensors +3 -0
- runs/Jul24_15-56-42_49a8a959d27f/events.out.tfevents.1721836603.49a8a959d27f.321.2 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: tmp_trainer
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# tmp_trainer
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "bert-base-cased",
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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": "O",
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"1": "B-Disease",
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"2": "I-Disease",
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"3": "B-Gene",
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"4": "I-Gene",
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"5": "B-Chemical",
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"6": "I-Chemical",
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"7": "B-CellLine",
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"8": "I-CellLine",
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"9": "B-Species",
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"10": "I-Species",
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"11": "B-Variant",
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"12": "I-Variant"
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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-CellLine": 7,
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"B-Chemical": 5,
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"B-Disease": 1,
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"B-Gene": 3,
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"B-Species": 9,
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"B-Variant": 11,
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"I-CellLine": 8,
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"I-Chemical": 6,
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"I-Disease": 2,
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"I-Gene": 4,
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"I-Species": 10,
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"I-Variant": 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": "4.42.4",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2d118ee7dc70a8985f8ffcfb24706bf023e78e2a024536823f5d62b41673a88
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size 430942044
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runs/Jul24_15-56-42_49a8a959d27f/events.out.tfevents.1721836603.49a8a959d27f.321.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb9ba4d01bddabfa5fa178b2a102d0e0db0f24f8e78a338d06ac1b12ef05f181
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size 15955
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:87dc200d463da2bd2b88ac1a988de8bbf90ceca916e4c9d8802b762b84a8a0d7
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size 5112
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