rishabhjain16/whisper_large_v2_to_myst_pf_ot100

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: 0.2637
• Wer: 10.1437

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: 16
• 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
0.2612	0.12	500	0.2687	12.4717
0.5072	0.25	1000	0.2606	12.2762
0.1023	1.05	1500	0.2436	10.0626
0.1379	1.18	2000	0.2447	11.1944
0.1237	1.3	2500	0.2412	11.0989
0.0684	2.11	3000	0.2715	10.2703
0.0925	2.23	3500	0.2553	10.2648
0.1484	3.03	4000	0.2637	10.1437

Framework versions

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