whisper-tiny-no-is-fo-5k-steps

This model is a fine-tuned version of davidilag/whisper-tiny-no-is-5k-steps on the ravnursson_asr dataset. It achieves the following results on the evaluation set:

• Loss: 0.4949
• Wer: 37.0848

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
• training_steps: 5000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.8742	0.2320	1000	0.8323	52.9696
0.631	0.4640	2000	0.6234	43.8242
0.5583	0.6961	3000	0.5439	39.9487
0.557	0.9281	4000	0.5060	37.6434
0.46	1.1601	5000	0.4949	37.0848

Framework versions

• Transformers 4.42.3
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1