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_quoref
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tags:
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- generated_from_trainer
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model-index:
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- name: FYP_qa_final
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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_qa_final
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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: 2.7986
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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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| 2.7022 | 0.8 | 500 | 3.2057 |
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| 2.5208 | 1.59 | 1000 | 2.9619 |
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| 2.4266 | 2.39 | 1500 | 2.7986 |
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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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runs/Apr07_13-32-20_2143b526a98e/events.out.tfevents.1712496741.2143b526a98e.3385.0
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