ahmed792002/Finetuning_XLNET_Paraphrase_Classification
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README.md
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None 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: 0.8603
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 459 | 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co/xlnet-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3980
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- Accuracy: 0.8603
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- F1: 0.8601
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 459 | 0.3751 | 0.8260 | 0.8148 |
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| 0.5039 | 2.0 | 918 | 0.3980 | 0.8603 | 0.8601 |
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### Framework versions
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model.safetensors
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runs/Dec04_21-09-33_f9e6f9f039cb/events.out.tfevents.1733346581.f9e6f9f039cb.734.0
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training_args.bin
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