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README.md
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 1.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.
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| 0.
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| 0.
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 1.9214
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- F1: 0.6376
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.6472 | 1.0 | 1367 | 0.6423 | 0.6081 |
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| 0.5596 | 2.0 | 2734 | 0.6642 | 0.6433 |
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| 0.4 | 3.0 | 4101 | 0.9445 | 0.6445 |
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| 0.2558 | 4.0 | 5468 | 1.5174 | 0.6392 |
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| 0.1355 | 5.0 | 6835 | 1.9214 | 0.6376 |
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### Framework versions
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- Transformers 4.46.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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model.safetensors
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training_args.bin
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