This model is a fine-tuned version of openai/whisper-small on the Hre audio dataset 3 dataset. It achieves the following results on the evaluation set:

Loss: 1.2948
Cer Ortho: 27.1607
Cer: 24.7789

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: 600
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer Ortho	Cer
0.0299	6.38	600	1.2948	27.1607	24.7789

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ntviet/whisper-small-hre3.1

Whisper Small Hre 3.1 - 600 steps, metric CER

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ntviet/
whisper-small-hre3.1