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: 2.4894
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- Model Preparation Time: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|
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| 2.6819 | 1.0 | 157 | 2.4978 | 0.
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| 2.5872 | 2.0 | 314 | 2.4488 | 0.
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| 2.527 | 3.0 | 471 | 2.4823 | 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: 2.4894
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- Model Preparation Time: 0.0027
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|
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| 2.6819 | 1.0 | 157 | 2.4978 | 0.0027 |
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| 2.5872 | 2.0 | 314 | 2.4488 | 0.0027 |
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| 2.527 | 3.0 | 471 | 2.4823 | 0.0027 |
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### Framework versions
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runs/Oct07_09-09-33_a03b60a15b9b/events.out.tfevents.1728292468.a03b60a15b9b.357.0
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