rishabhjain16/whisper_large_v2_to_myst_cmu_pf

openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1902
• Wer: 10.0204

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: 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
0.2223	0.12	500	0.2384	11.3393
0.2291	0.25	1000	0.2043	10.2326
0.1116	1.04	1500	0.1999	9.9402
0.1433	1.16	2000	0.1897	10.1128
0.0687	1.29	2500	0.1876	9.9270
0.067	2.07	3000	0.2089	10.6712
0.0819	2.2	3500	0.1962	10.3128
0.0587	2.32	4000	0.1902	10.0204

Framework versions

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