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--- |
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license: cc-by-4.0 |
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base_model: kxx-kkk/FYP_sq2_mrqa_adqa |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: FYP_sq2_mrqa_adqa_quac |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# FYP_sq2_mrqa_adqa_quac |
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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: 2.9214 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 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: 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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| 2.6837 | 0.48 | 500 | 2.9669 | |
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| 2.3939 | 0.95 | 1000 | 2.7932 | |
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| 2.3193 | 1.43 | 1500 | 3.0776 | |
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| 2.2214 | 1.91 | 2000 | 2.7540 | |
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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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- Transformers 4.39.3 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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