M00dler's picture
End of training
9fe214d verified
metadata
language:
  - my
license: apache-2.0
base_model: openai/whisper-medium
tags:
  - generated_from_trainer
datasets:
  - malaysia-ai/malay-conversational-speech-corpus
model-index:
  - name: Whisper Medium Malay (12/6 batch size) - Gab
    results: []

Whisper Medium Malay (12/6 batch size) - Gab

This model is a fine-tuned version of openai/whisper-medium on the malay-conversational-speech-corpus dataset. It achieves the following results on the evaluation set:

  • eval_loss: 1.0942
  • eval_wer: 52.0822
  • eval_runtime: 338.3155
  • eval_samples_per_second: 1.918
  • eval_steps_per_second: 0.322
  • epoch: 6.9444
  • step: 750

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: 12
  • eval_batch_size: 6
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 24
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 250
  • training_steps: 1500
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.3.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1