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GenzTranscribe-en-hi

This model is a fine-tuned version of t5-small on the opus100 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2835
  • Bleu: 11.6016
  • Gen Len: 14.765

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: 16
  • eval_batch_size: 16
  • seed: 42
  • 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
0.2859 1.0 33395 0.2898 10.7407 14.7245
0.2733 2.0 66790 0.2835 11.6016 14.765

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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Finetuned from

Dataset used to train ParthNakum21/GenzTranscribe-en-hi

Evaluation results