whisper-tiny-aug-7-may-lightning-v1

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

• Loss: 0.1300
• Wer: 86.2590

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: 32
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 64
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant
• lr_scheduler_warmup_steps: 1000
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0747	1.0	712	0.4463	102.0236
0.3496	2.0	1424	0.2607	98.4686
0.2411	3.0	2136	0.2071	92.8878
0.1966	4.0	2848	0.1819	94.1085
0.1699	5.0	3560	0.1653	92.2555
0.1514	6.0	4272	0.1533	88.5561
0.1377	7.0	4984	0.1452	88.0289
0.1265	8.0	5696	0.1391	86.8913
0.117	9.0	6408	0.1331	87.4382
0.1089	10.0	7120	0.1300	86.2590

Framework versions

• Transformers 4.51.3
• Pytorch 2.7.0+cu128
• Datasets 3.5.1
• Tokenizers 0.21.1