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translate_eng-nepali_fk

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.2009
  • eval_bleu: 21.3781
  • eval_gen_len: 16.5486
  • eval_runtime: 396.6353
  • eval_samples_per_second: 89.42
  • eval_steps_per_second: 2.796
  • epoch: 2.0
  • step: 8868

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1
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