Raoul12/wispher_small_kh

Whisper Small - KH

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

• Loss: 0.3627
• Wer: 58.2979

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 50
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7064	1.3966	250	0.7823	106.1170
0.4618	2.7933	500	0.5052	78.0851
0.1901	4.1899	750	0.4079	64.7340
0.1137	5.5866	1000	0.3627	58.2979

Framework versions

• Transformers 5.15.0
• Pytorch 2.11.0+cu128
• Datasets 5.0.1
• Tokenizers 0.22.2