This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 th,None,th_th dataset. It achieves the following results on the evaluation set:

Loss: 0.1841
Wer: 14.060

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: 0.0001
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0909	0.2	1000	0.3373	25.5752
0.0426	1.1	2000	0.2540	20.9739
0.0267	2.0	3000	0.2210	17.4080
0.0145	2.2	4000	0.2134	15.5675
0.0099	3.1	5000	0.1841	13.2285

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2

napatswift/whisper-small-th

Whisper Small Thai

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

napatswift/
whisper-small-th