End of training
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README.md
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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_synqa
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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_synqa_quoref
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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_synqa_quoref
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This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa](https://huggingface.co/kxx-kkk/FYP_sq2_mrqa_adqa_synqa) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8654
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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: 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: 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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| 2.3662 | 0.32 | 500 | 2.2585 |
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| 2.1791 | 0.64 | 1000 | 2.1171 |
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| 2.1006 | 0.95 | 1500 | 2.0172 |
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| 2.0647 | 1.27 | 2000 | 1.9514 |
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| 2.0247 | 1.59 | 2500 | 1.9741 |
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| 1.9766 | 1.91 | 3000 | 1.8697 |
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| 1.9395 | 2.23 | 3500 | 1.8859 |
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| 1.9254 | 2.54 | 4000 | 1.8358 |
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| 1.9118 | 2.86 | 4500 | 1.8654 |
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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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model.safetensors
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runs/Apr07_12-50-26_b850becae0cc/events.out.tfevents.1712494242.b850becae0cc.2399.0
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