ShiroMM/whisper-small-th

Whisper Small Th - Testhai

This model is a fine-tuned version of openai/whisper-small on the Common Voice 22.0 dataset. It achieves the following results on the evaluation set:

• Loss: 2.9453
• Wer: 100.0

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: 0.001
• train_batch_size: 2
• eval_batch_size: 1
• seed: 42
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.3587	1.0	330	3.2810	100.0
2.2188	2.0	660	3.0993	100.0
2.4391	3.0	990	2.9453	100.0

Framework versions

• Transformers 5.9.0
• Pytorch 2.12.0+cu132
• Datasets 4.8.5
• Tokenizers 0.22.2