ta-eng-data / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - tamil_eng_data
model-index:
  - name: ta-eng-data
    results: []

ta-eng-data

This model is a fine-tuned version of openai/whisper-base on the tamil_eng_data dataset. It achieves the following results on the evaluation set:

  • eval_loss: 3.3225
  • eval_wer: 408.5725
  • eval_runtime: 346.6466
  • eval_samples_per_second: 2.094
  • eval_steps_per_second: 0.133
  • epoch: 13.02
  • step: 400

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: 1e-05
  • train_batch_size: 32
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 500
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.27.0.dev0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.1.dev0
  • Tokenizers 0.13.2