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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: 0.1247

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: 1728

Training results

Training Loss Epoch Step Validation Loss
0.0174 18.35 500 0.1169
0.0081 36.7 1000 0.1207
0.0044 55.05 1500 0.1162

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Tokenizers 0.15.0
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Model size
484M params
Tensor type
F32
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Finetuned from