whisper-small-yue-fold-3

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

• Loss: 0.2815
• Wer: 83.6735

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: 32
• eval_batch_size: 16
• 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: 400
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.7804	0.38	50	2.2963	123.7477
0.7908	0.75	100	0.4247	199.6289
0.305	1.13	150	0.3275	124.2115
0.2708	1.5	200	0.2999	104.6382
0.2586	1.88	250	0.2925	74.5826
0.1571	2.26	300	0.2853	78.6642
0.1575	2.63	350	0.2780	75.0464
0.1431	3.01	400	0.2815	83.6735

Framework versions

• Transformers 4.37.0.dev0
• Pytorch 1.12.1
• Datasets 2.15.0
• Tokenizers 0.15.0