rishabhjain16/whisper_medium_to_myst_pf

openai/whisper-medium

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

• Loss: 0.3896
• Wer: 200.1910

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
0.2328	0.12	500	0.2655	301.5949
0.1838	1.11	1000	0.2496	286.1977
0.1757	2.1	1500	0.2563	118.9213
0.0254	3.09	2000	0.2992	237.0841
0.0282	4.07	2500	0.3342	125.1999
0.0229	5.06	3000	0.3502	268.7414
0.0027	6.05	3500	0.3918	107.5536
0.003	7.03	4000	0.3896	200.1910

Framework versions

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