This model is a fine-tuned version of Ramoslee/Whishper-small-th on the mozilla-foundation/common_voice_11_0 th dataset. It achieves the following results on the evaluation set:

Loss: 0.1836
Wer: 18.8761

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: 6
eval_batch_size: 10
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: 10000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.1262	0.27	1000	0.2267	25.1536
0.1174	0.55	2000	0.2190	24.6093
0.1363	0.82	3000	0.2059	24.5492
0.0618	1.1	4000	0.1970	22.1944
0.0686	1.37	5000	0.1916	21.2372
0.0722	1.65	6000	0.1854	20.3488
0.0771	1.92	7000	0.1801	19.8033
0.0191	2.2	8000	0.1859	19.5656
0.0237	2.47	9000	0.1862	19.1376
0.0205	2.74	10000	0.1836	18.8761

Framework versions

Transformers 4.33.0.dev0
Pytorch 1.12.1+cu116
Datasets 2.14.4.dev0
Tokenizers 0.12.1

Ramoslee/whisper-small-th_10000

Whisper Small Thai

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Ramoslee/
whisper-small-th_10000