This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 7 dataset. It achieves the following results on the evaluation set:

Loss: 0.0437
Cer Ortho: 1.6227
Cer: 0.8702

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
0.1106	3.2362	1000	0.0437	1.6227	0.8702

Framework versions

Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0

ntviet/whisper-small-hre5.1

Whisper Small Hre 5.1, ASR for male & female Hre voice, 1000 steps, metric CER

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ntviet/
whisper-small-hre5.1