whisper-small-ablation-2-13

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2303
• Wer: 14.4607

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
0.3751	0.9276	500	0.2825	17.6323
0.2196	1.8553	1000	0.2303	14.4607

Framework versions

• Transformers 4.45.0
• Pytorch 2.9.1+cu130
• Datasets 3.0.1
• Tokenizers 0.20.0