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bioGPT_finetuned_ncbi

Token Classification
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gpt2
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text-generation-inference
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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Apr15_02-25-22_402e5adb5a5a/events.out.tfevents.1713147923.402e5adb5a5a.13182.1 +2 -2
README.md CHANGED
@@ -20,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -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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- | 0.0935 | 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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  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: 0.1880
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+ - Precision: 0.4637
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+ - Recall: 0.5448
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+ - F1: 0.5010
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+ - Accuracy: 0.9476
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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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+ | 0.1735 | 1.0 | 1358 | 0.2050 | 0.3990 | 0.4094 | 0.4041 | 0.9415 |
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+ | 0.1086 | 2.0 | 2716 | 0.1800 | 0.4230 | 0.5354 | 0.4726 | 0.9463 |
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+ | 0.07 | 3.0 | 4074 | 0.1880 | 0.4637 | 0.5448 | 0.5010 | 0.9476 |
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  ### Framework versions
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