whisper-base-en-native

This model is a fine-tuned version of Youssef1234/whisper-base-en-early-stopping on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3798
• Wer: 16.5974

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: 500
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2029	1.0	774	0.3349	16.2199
0.0968	2.0	1548	0.3634	16.7856
0.0419	3.0	2322	0.3798	16.5974

Framework versions

• Transformers 4.38.1
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.1