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Finetuned_FLAN-T5_VALUE_adapterfusion_lr1e-4_bs96

This model is a fine-tuned version of liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0896
  • Accuracy: 0.8782

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: 0.0001
  • train_batch_size: 96
  • eval_batch_size: 96
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.0588 0.25 2500 0.0865 0.8766
0.054 0.51 5000 0.0891 0.8768
0.0525 0.76 7500 0.0896 0.8782

Framework versions

  • Transformers 4.26.1
  • Pytorch 1.13.0+cu117
  • Datasets 2.10.1
  • Tokenizers 0.12.1
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