README.md

metadata

language:
  - hre
license: apache-2.0
base_model: openai/whisper-small
tags:
  - generated_from_trainer
datasets:
  - ntviet/Hre-audio-dataset6
model-index:
  - name: Whisper Small Hre 6 - female voice - 500 steps, metric CER
    results: []

Whisper Small Hre 6 - female voice - 500 steps, metric CER

This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 6 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0693
• Cer Ortho: 9.3458
• Cer: 0.0

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
0.1016	4.13	500	0.0693	9.3458	0.0

Framework versions

• Transformers 4.39.3
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2