loha_fine_tuned_copa_XLMroberta
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README.md
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) 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: 0.
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- F1: 0.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.6896 | 4.0 | 200 | 0.
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### Framework versions
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6929
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- Accuracy: 0.57
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- F1: 0.5695
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.6981 | 1.0 | 50 | 0.6929 | 0.56 | 0.5589 |
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| 0.701 | 2.0 | 100 | 0.6929 | 0.56 | 0.5589 |
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| 0.6932 | 3.0 | 150 | 0.6929 | 0.57 | 0.5695 |
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| 0.6896 | 4.0 | 200 | 0.6929 | 0.57 | 0.5695 |
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| 0.6968 | 5.0 | 250 | 0.6929 | 0.57 | 0.5695 |
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| 0.6979 | 6.0 | 300 | 0.6929 | 0.57 | 0.5695 |
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| 0.6984 | 7.0 | 350 | 0.6929 | 0.57 | 0.5695 |
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| 0.6999 | 8.0 | 400 | 0.6929 | 0.57 | 0.5695 |
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### Framework versions
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adapter_model.safetensors
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runs/May21_17-27-49_DESKTOP-22QTFDR/events.out.tfevents.1716305270.DESKTOP-22QTFDR.7692.0
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tokenizer.json
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training_args.bin
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