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Text Classification
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distilbert
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End of training

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  1. README.md +7 -7
  2. runs/Jan30_08-02-32_99d88b068af6/events.out.tfevents.1738224153.99d88b068af6.1135.1 +2 -2
README.md CHANGED
@@ -18,7 +18,7 @@ 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: 0.0001
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  - Accuracy: 1.0
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  ## Model description
@@ -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 | 80 | 0.0043 | 1.0 |
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  | No log | 2.0 | 160 | 0.0012 | 1.0 |
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- | No log | 3.0 | 240 | 0.0006 | 1.0 |
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  | No log | 4.0 | 320 | 0.0004 | 1.0 |
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  | No log | 5.0 | 400 | 0.0003 | 1.0 |
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  | No log | 6.0 | 480 | 0.0002 | 1.0 |
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- | 0.0304 | 7.0 | 560 | 0.0002 | 1.0 |
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- | 0.0304 | 8.0 | 640 | 0.0002 | 1.0 |
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- | 0.0304 | 9.0 | 720 | 0.0001 | 1.0 |
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- | 0.0304 | 10.0 | 800 | 0.0001 | 1.0 |
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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: 0.0002
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  - Accuracy: 1.0
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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 | 80 | 0.0041 | 1.0 |
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  | No log | 2.0 | 160 | 0.0012 | 1.0 |
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+ | No log | 3.0 | 240 | 0.0007 | 1.0 |
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  | No log | 4.0 | 320 | 0.0004 | 1.0 |
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  | No log | 5.0 | 400 | 0.0003 | 1.0 |
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  | No log | 6.0 | 480 | 0.0002 | 1.0 |
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+ | 0.0303 | 7.0 | 560 | 0.0002 | 1.0 |
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+ | 0.0303 | 8.0 | 640 | 0.0002 | 1.0 |
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+ | 0.0303 | 9.0 | 720 | 0.0002 | 1.0 |
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+ | 0.0303 | 10.0 | 800 | 0.0002 | 1.0 |
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  ### Framework versions
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