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End of training

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  1. README.md +12 -12
  2. adapter_model.safetensors +1 -1
  3. runs/Feb22_15-33-23_d63c595737ad/events.out.tfevents.1708616067.d63c595737ad.1062.0 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3353
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- - Accuracy: 0.858
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 125 | 0.6346 | 0.776 |
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- | No log | 2.0 | 250 | 0.5506 | 0.81 |
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- | No log | 3.0 | 375 | 0.4399 | 0.824 |
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- | 0.5369 | 4.0 | 500 | 0.3546 | 0.846 |
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- | 0.5369 | 5.0 | 625 | 0.3350 | 0.859 |
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- | 0.5369 | 6.0 | 750 | 0.3348 | 0.857 |
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- | 0.5369 | 7.0 | 875 | 0.3328 | 0.858 |
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- | 0.3134 | 8.0 | 1000 | 0.3344 | 0.858 |
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- | 0.3134 | 9.0 | 1125 | 0.3357 | 0.857 |
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- | 0.3134 | 10.0 | 1250 | 0.3353 | 0.858 |
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3372
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+ - Accuracy: 0.856
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 125 | 0.6385 | 0.787 |
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+ | No log | 2.0 | 250 | 0.5578 | 0.808 |
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+ | No log | 3.0 | 375 | 0.4489 | 0.818 |
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+ | 0.5423 | 4.0 | 500 | 0.3610 | 0.843 |
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+ | 0.5423 | 5.0 | 625 | 0.3374 | 0.855 |
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+ | 0.5423 | 6.0 | 750 | 0.3365 | 0.854 |
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+ | 0.5423 | 7.0 | 875 | 0.3331 | 0.857 |
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+ | 0.3101 | 8.0 | 1000 | 0.3359 | 0.857 |
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+ | 0.3101 | 9.0 | 1125 | 0.3377 | 0.855 |
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+ | 0.3101 | 10.0 | 1250 | 0.3372 | 0.856 |
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  ### Framework versions
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