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fine_tuned_modelsNew

This model is a fine-tuned version of facebook/m2m100_418M on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0970

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 2780

Training results

Training Loss Epoch Step Validation Loss
0.5467 14.29 500 0.1427
0.0527 28.57 1000 0.1012
0.0272 42.86 1500 0.1052
0.0163 57.14 2000 0.0984
0.0106 71.43 2500 0.0943

Framework versions

  • Transformers 4.35.1
  • Pytorch 2.1.0+cu118
  • Tokenizers 0.14.1
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