nurzhanit/whisper-enhanced-ml

Whisper Small Hi - Sanchit Gandhi

This model is a fine-tuned version of nurzhanit/dlc_audio on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000
• Wer: 0.0

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: 20
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0002	50.0	50	0.0001	0.0
0.0001	100.0	100	0.0001	0.0
0.0	150.0	150	0.0000	0.0
0.0	200.0	200	0.0000	0.0
0.0	250.0	250	0.0000	0.0
0.0	300.0	300	0.0000	0.0
0.0	350.0	350	0.0000	0.0
0.0	400.0	400	0.0000	0.0
0.0	450.0	450	0.0000	0.0
0.0	500.0	500	0.0000	0.0

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0