mt5-small-finetuned-tq-to-ar

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.2607
  • Bleu: 0.0533
  • Gen Len: 19.0

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
11.4687 1.0 656 4.1640 0.0355 18.2007
5.255 2.0 1312 3.6826 0.0314 18.8971
4.6562 3.0 1968 3.5592 0.03 19.0
4.329 4.0 2624 3.4714 0.0304 19.0
4.2431 5.0 3280 3.4219 0.0425 19.0
4.1638 6.0 3936 3.3766 0.0532 19.0
4.0727 7.0 4592 3.3530 0.0539 19.0
4.0424 8.0 5248 3.3293 0.0536 19.0
3.9878 9.0 5904 3.3079 0.0526 19.0
3.9417 10.0 6560 3.2885 0.0532 19.0
3.9272 11.0 7216 3.2813 0.0531 19.0
3.9144 12.0 7872 3.2733 0.0522 19.0
3.8918 13.0 8528 3.2665 0.0539 19.0
3.8884 14.0 9184 3.2617 0.0527 19.0
3.8857 15.0 9840 3.2607 0.0533 19.0

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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