Gbssreejith/whisper-small-ml

Whisper Small ml

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

• Loss: 0.0355
• Wer: 36.5156

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: 16
• 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: 1000
• training_steps: 8000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0147	2.1716	2000	0.0248	43.0349
0.0051	4.3431	4000	0.0258	38.2522
0.0011	6.5147	6000	0.0317	37.6022
0.0009	8.6862	8000	0.0355	36.5156

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1