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bioGPT_finetuned_ncbi

Token Classification
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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Apr14_22-51-17_50177d86513e/events.out.tfevents.1713135080.50177d86513e.196.2 +2 -2
README.md CHANGED
@@ -9,22 +9,22 @@ metrics:
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  - f1
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  - accuracy
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  model-index:
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- - name: BioGPT_NCBI
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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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- # BioGPT_NCBI
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1730
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- - Precision: 0.4537
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- - Recall: 0.5406
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- - F1: 0.4933
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- - Accuracy: 0.9493
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  ## Model description
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@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | 0.2343 | 1.0 | 1358 | 0.1908 | 0.3555 | 0.4292 | 0.3889 | 0.9392 |
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- | 0.1311 | 2.0 | 2716 | 0.1792 | 0.3994 | 0.5563 | 0.4650 | 0.9429 |
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- | 0.081 | 3.0 | 4074 | 0.1730 | 0.4537 | 0.5406 | 0.4933 | 0.9493 |
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  ### Framework versions
 
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  - f1
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  - accuracy
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  model-index:
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+ - name: bioGPT_finetuned_ncbi
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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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+ # bioGPT_finetuned_ncbi
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  This model is a fine-tuned version of [microsoft/biogpt](https://huggingface.co/microsoft/biogpt) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2107
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+ - Precision: 0.5162
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+ - Recall: 0.5990
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+ - F1: 0.5545
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+ - Accuracy: 0.9533
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | 0.0935 | 1.0 | 1358 | 0.2175 | 0.4239 | 0.5365 | 0.4736 | 0.9486 |
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+ | 0.0585 | 2.0 | 2716 | 0.2052 | 0.4431 | 0.5927 | 0.5071 | 0.9490 |
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+ | 0.0416 | 3.0 | 4074 | 0.2107 | 0.5162 | 0.5990 | 0.5545 | 0.9533 |
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  ### Framework versions
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