whisper-small-sl

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: 0.3292
• Wer: 29.0910

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: 10
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4607	0.3978	1000	0.4599	49.4480
0.3716	0.7955	2000	0.3842	36.1316
0.2315	1.1933	3000	0.3542	32.5667
0.2136	1.5911	4000	0.3388	30.3473
0.2097	1.9889	5000	0.3292	29.0910

Framework versions

• Transformers 4.45.2
• Pytorch 2.5.1+cu124
• Datasets 2.19.1
• Tokenizers 0.20.1