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t5-small-finetuned-ro-to-en

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

  • Loss: 1.5877
  • Bleu: 13.4499
  • Gen Len: 17.5073

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: 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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
1.6167 0.05 2000 1.8649 9.7029 17.5753
1.4551 0.1 4000 1.7810 10.6382 17.5358
1.3723 0.16 6000 1.7369 11.1285 17.5158
1.3373 0.21 8000 1.7086 11.6173 17.5013
1.2935 0.26 10000 1.6890 12.0641 17.5038
1.2632 0.31 12000 1.6670 12.3012 17.5253
1.2463 0.37 14000 1.6556 12.3991 17.5153
1.2272 0.42 16000 1.6442 12.7392 17.4732
1.2052 0.47 18000 1.6328 12.8446 17.5143
1.1985 0.52 20000 1.6233 13.0892 17.4807
1.1821 0.58 22000 1.6153 13.1529 17.4952
1.1791 0.63 24000 1.6079 13.2964 17.5088
1.1698 0.68 26000 1.6038 13.3548 17.4842
1.154 0.73 28000 1.5957 13.3012 17.5053
1.1634 0.79 30000 1.5931 13.4203 17.5083
1.1487 0.84 32000 1.5893 13.3959 17.5123
1.1495 0.89 34000 1.5875 13.3745 17.4902
1.1458 0.94 36000 1.5877 13.4129 17.5043
1.1465 1.0 38000 1.5877 13.4499 17.5073

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 Mirelle/t5-small-finetuned-ro-to-en

Evaluation results