whisper-small-ablation-1-2b

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

• Loss: 0.3006
• Wer: 14.0584

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: 32
• 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: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0439	3.7037	500	0.2799	14.5779
0.0023	7.4074	1000	0.3006	14.0584

Framework versions

• Transformers 4.45.0
• Pytorch 2.8.0+cu129
• Datasets 3.0.1
• Tokenizers 0.20.0