whisper-tiny-sinhala-20k

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

• Loss: 0.2433
• Wer: 92.9960

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: 8
• 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: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4207	0.4	1000	0.3978	221.9058
0.2966	0.8	2000	0.3009	136.3423
0.226	1.2	3000	0.2661	97.6638
0.2224	1.6	4000	0.2510	92.3279
0.2034	2.0	5000	0.2433	92.9960

Framework versions

• Transformers 4.36.0.dev0
• Pytorch 2.0.0
• Datasets 2.1.0
• Tokenizers 0.15.0