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iva_mt_wslot-m2m100_418M-en-pl-noleyzer

This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3387
  • Bleu: 56.3512
  • Gen Len: 20.7319

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.3611 1.0 4097 0.3088 53.0678 20.6977
0.2624 2.0 8194 0.2937 53.8146 20.5946
0.1904 3.0 12291 0.2955 53.7632 20.8701
0.1501 4.0 16388 0.2999 55.4482 20.6983
0.1079 5.0 20485 0.3074 55.5861 20.6366
0.0852 6.0 24582 0.3165 55.8774 20.6638
0.0646 7.0 28679 0.3231 55.9306 20.555
0.0464 8.0 32776 0.3294 55.9869 20.7809
0.0377 9.0 36873 0.3348 56.0674 20.7044
0.0305 10.0 40970 0.3387 56.3512 20.7319

Framework versions

  • Transformers 4.27.4
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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Dataset used to train cartesinus/iva_mt_wslot-m2m100_418M-en-pl-noleyzer