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Shivam098
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opt-translation

Transformers
PyTorch
Safetensors
mbart
text2text-generation
Generated from Trainer
4-bit precision
gptq
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xet
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opt-Translation

This model is a fine-tuned version of Shivam098/opt-translation on the opus100 dataset.

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: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 300

Training results

Framework versions

  • Transformers 4.33.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Dataset used to train Shivam098/opt-translation