whisper-medium-fa

This model is a fine-tuned version of openai/whisper-medium on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4233
• Wer: 40.8723

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: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3796	0.0811	200	0.5452	47.2661
0.3085	0.1622	400	0.4883	44.2043
0.2575	0.2433	600	0.4480	43.2045
0.2283	0.3244	800	0.4262	40.0376
0.246	0.4055	1000	0.4233	40.8723

Framework versions

• Transformers 4.44.2
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1