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Hanhpt23/
whisper-small-chinesemed-v1

Name: whisper-small-chinesemed-v1
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

generated_from_trainer

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openai/whisper-small

This model is a fine-tuned version of openai/whisper-small on the Hanhpt23/ChineseMed dataset. It achieves the following results on the evaluation set:

Loss: 4.9830
Wer: 123.0681

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.0264	1.0	2222	2.9653	115.7413
2.3821	2.0	4444	2.9087	114.9971
1.5873	3.0	6666	3.3147	107.5558
0.9969	4.0	8888	3.7880	119.2330
0.6546	5.0	11110	4.1111	106.9834
0.5117	6.0	13332	4.2925	107.2696
0.4367	7.0	15554	4.4602	106.0675
0.3898	8.0	17776	4.5509	105.8958
0.3962	9.0	19998	4.6185	127.8191
0.3297	10.0	22220	4.6620	118.8323
0.3308	11.0	24442	4.7870	116.3137
0.304	12.0	26664	4.8033	106.2393
0.306	13.0	28886	4.8275	124.8426
0.2777	14.0	31108	4.8636	106.1248
0.329	15.0	33330	4.8876	105.5524
0.2666	16.0	35552	4.8984	110.6468
0.2713	17.0	37774	4.9296	105.2089
0.2834	18.0	39996	4.9481	123.6978
0.2202	19.0	42218	4.9403	122.8964
0.225	20.0	44440	4.9830	123.0681

Framework versions

Transformers 4.41.1
Pytorch 2.3.0
Datasets 2.19.1
Tokenizers 0.19.1

Hanhpt23/whisper-small-chinesemed-v1

openai/whisper-small

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Hanhpt23/
whisper-small-chinesemed-v1