rishabhjain16/whisper_medium_to_myst_cmu_pf_ot50

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: 0.2589
• Wer: 10.2458

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
0.2975	0.12	500	0.2211	11.1099
0.2856	1.07	1000	0.2027	10.5108
0.0727	2.01	1500	0.2071	10.1778
0.1546	2.13	2000	0.1978	10.5596
0.0166	3.08	2500	0.2328	9.9899
0.0076	4.02	3000	0.2436	10.3463
0.0042	4.14	3500	0.2497	10.5311
0.0066	5.09	4000	0.2589	10.2458

Framework versions

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