End of training
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README.md
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This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.
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| 2.232 | 3.35 | 2100 | 2.3507 |
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| 2.201 | 3.83 | 2400 | 2.3814 |
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### Framework versions
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This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.5690
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 2.7114 | 0.48 | 300 | 3.0660 |
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| 2.5396 | 0.96 | 600 | 2.6867 |
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| 2.4284 | 1.44 | 900 | 2.6065 |
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| 2.3668 | 1.91 | 1200 | 2.5973 |
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| 2.3286 | 2.39 | 1500 | 2.5630 |
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| 2.2461 | 2.87 | 1800 | 2.5690 |
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### Framework versions
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model.safetensors
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