rishabhjain16/whisper_small_en_to_myst_pf

openai/whisper-small.en

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

• Loss: 0.3955
• Wer: 11.3610

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 4000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2871	0.12	500	0.3313	12.0452
0.2339	1.11	1000	0.3023	12.9337
0.2437	2.1	1500	0.3038	12.7260
0.0485	3.09	2000	0.3246	11.1822
0.0834	4.07	2500	0.3510	11.8941
0.1024	5.06	3000	0.3645	11.6309
0.0208	6.05	3500	0.4008	10.8457
0.0328	7.03	4000	0.3955	11.3610

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.13.1+cu117
• Datasets 2.9.1.dev0
• Tokenizers 0.13.2