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](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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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: 16
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- eval_batch_size: 16
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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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| 2.1982 | 2.39 | 2500 | 3.0105 |
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| 2.1551 | 2.86 | 3000 | 2.9214 |
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### Framework versions
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This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.2206
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 2
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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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| 2.8023 | 0.48 | 500 | 3.4618 |
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| 2.4772 | 0.95 | 1000 | 3.3024 |
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| 2.4056 | 1.43 | 1500 | 3.2717 |
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| 2.3162 | 1.91 | 2000 | 3.2206 |
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### Framework versions
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model.safetensors
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