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FYP_qa_final

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metadata
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref
tags:
  - generated_from_trainer
model-index:
  - name: FYP_qa_final
    results: []

FYP_qa_final

This model is a fine-tuned version of kxx-kkk/FYP_sq2_mrqa_adqa_synqa_quoref on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.7986

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
2.7022 0.8 500 3.2057
2.5208 1.59 1000 2.9619
2.4266 2.39 1500 2.7986

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2