m2m100_418M

This model is a fine-tuned version of kazandaev/m2m100_418M on the custom en-ru dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8954
  • Bleu: 32.0585
  • Gen Len: 36.1643

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: 2
  • seed: 42
  • gradient_accumulation_steps: 10
  • total_train_batch_size: 40
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Bleu Gen Len
0.8087 1.0 47790 0.9542 30.786 36.1469
0.7266 2.0 95580 0.8954 32.0585 36.1643

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.2.0.dev20230920+cu121
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Dataset used to train kazandaev/m2m100_418M

Evaluation results