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t5-small-ENG2BASH-custom-v2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2653
  • Bleu: 76.4656
  • Gen Len: 16.92

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: 0.0002
  • train_batch_size: 5
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
No log 1.0 40 0.3151 69.2544 17.36
No log 2.0 80 0.3087 70.4152 17.08
No log 3.0 120 0.2938 75.3344 16.92
No log 4.0 160 0.2671 74.809 16.92
No log 5.0 200 0.2653 76.4656 16.92

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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