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cer_model

Token Classification
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bert
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cer

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Files changed (4) hide show
  1. README.md +4 -6
  2. model.safetensors +1 -1
  3. tokenizer_config.json +0 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0008
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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- - Accuracy: 0.9999
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  ## Model description
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@@ -48,15 +48,13 @@ The following hyperparameters were used during training:
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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
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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- | 0.0006 | 1.0 | 71 | 0.0011 | 0.0 | 0.0 | 0.0 | 0.9999 |
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- | 0.0007 | 2.0 | 142 | 0.0009 | 0.0 | 0.0 | 0.0 | 0.9999 |
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- | 0.0003 | 3.0 | 213 | 0.0008 | 0.0 | 0.0 | 0.0 | 0.9999 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dmis-lab/biobert-v1.1](https://huggingface.co/dmis-lab/biobert-v1.1) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: nan
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  - Precision: 0.0
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  - Recall: 0.0
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  - F1: 0.0
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+ - Accuracy: 0.5235
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  ## Model description
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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: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
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+ | 0.0 | 1.0 | 5178 | nan | 0.0 | 0.0 | 0.0 | 0.5235 |
 
 
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  ### Framework versions
model.safetensors CHANGED
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tokenizer_config.json CHANGED
@@ -53,6 +53,5 @@
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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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- "truncation": true,
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  "unk_token": "[UNK]"
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  }
 
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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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  }
training_args.bin CHANGED
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