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Granoladata
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modality_classifier_biobert_weighted_classes_v0

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +4 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0441
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  - F1: 0.9911
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  ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.0098 | 1.0 | 849 | 0.0350 | 0.9865 |
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- | 0.0031 | 2.0 | 1698 | 0.0326 | 0.9908 |
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- | 0.001 | 3.0 | 2547 | 0.0441 | 0.9911 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0510
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  - F1: 0.9911
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.0008 | 1.0 | 849 | 0.0325 | 0.9897 |
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+ | 0.0003 | 2.0 | 1698 | 0.0426 | 0.9902 |
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+ | 0.0001 | 3.0 | 2547 | 0.0510 | 0.9911 |
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  ### Framework versions
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