End of training
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README.md
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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.
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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.
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| No log | 2.0 | 160 | 0.0012 | 1.0 |
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| No log | 3.0 | 240 | 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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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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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
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 53 |
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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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- Transformers 4.47.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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runs/Jan30_07-45-08_99d88b068af6/events.out.tfevents.1738223108.99d88b068af6.1135.0
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