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FYP_sq2_mrqa_adqa_quac

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metadata
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa_adqa
tags:
  - generated_from_trainer
model-index:
  - name: FYP_sq2_mrqa_adqa_quac
    results: []

FYP_sq2_mrqa_adqa_quac

This model is a fine-tuned version of kxx-kkk/FYP_sq2_mrqa_adqa on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9214

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: 2e-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
2.6837 0.48 500 2.9669
2.3939 0.95 1000 2.7932
2.3193 1.43 1500 3.0776
2.2214 1.91 2000 2.7540
2.1982 2.39 2500 3.0105
2.1551 2.86 3000 2.9214

Framework versions

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