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distilbert-base-uncased-finetuned-discharge

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discharge-real-8000

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Jan18_22-37-39_64cf96d34292/events.out.tfevents.1705617460.64cf96d34292.27.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1394
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- - Accuracy: 0.9577
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- - F1: 0.9577
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  ## Model description
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@@ -51,12 +51,12 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | No log | 1.0 | 820 | 0.5591 | 0.7316 | 0.7247 |
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- | 0.5723 | 2.0 | 1640 | 0.4173 | 0.8082 | 0.8060 |
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- | 0.5723 | 3.0 | 2460 | 0.3228 | 0.8703 | 0.8693 |
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- | 0.3567 | 4.0 | 3280 | 0.2463 | 0.9050 | 0.9045 |
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- | 0.3567 | 5.0 | 4100 | 0.1633 | 0.9444 | 0.9443 |
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- | 0.2179 | 6.0 | 4920 | 0.1394 | 0.9577 | 0.9577 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9049
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+ - Accuracy: 0.7425
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+ - F1: 0.7419
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 814 | 0.5448 | 0.7052 | 0.7020 |
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+ | 0.5626 | 2.0 | 1628 | 0.5420 | 0.7323 | 0.7322 |
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+ | 0.5626 | 3.0 | 2442 | 0.5337 | 0.7535 | 0.7516 |
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+ | 0.3498 | 4.0 | 3256 | 0.6277 | 0.7491 | 0.7482 |
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+ | 0.3498 | 5.0 | 4070 | 0.7642 | 0.7432 | 0.7421 |
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+ | 0.2189 | 6.0 | 4884 | 0.9049 | 0.7425 | 0.7419 |
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  ### Framework versions
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