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t5-small-finetuned-en-to-ro-lr_2e-6

This model is a fine-tuned version of t5-small on the wmt16 dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4232
  • Bleu: 7.2935
  • Gen Len: 18.2521

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-06
  • train_batch_size: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 0.04375
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.6703 0.04 2671 1.4232 7.2935 18.2521

Framework versions

  • Transformers 4.12.5
  • Pytorch 1.10.0+cu111
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train eliotm/t5-small-finetuned-en-to-ro-lr_2e-6

Evaluation results