rishabhjain16/whisper_medium_en_to_myst_pf_ot100

openai/whisper-medium.en

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

• Loss: 0.4158
• Wer: 10.8712

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
0.6148	0.12	500	0.3107	12.7838
0.1877	1.09	1000	0.2892	11.2910
0.0697	2.05	1500	0.3146	10.7857
0.0748	3.02	2000	0.3162	11.5254
0.0308	3.14	2500	0.3450	11.1111
0.0192	4.11	3000	0.3720	10.9101
0.0046	5.07	3500	0.4155	11.2344
0.0096	6.03	4000	0.4158	10.8712

Framework versions

• Transformers 4.29.0
• Pytorch 1.14.0a0+44dac51
• Datasets 2.12.0
• Tokenizers 0.13.3