rishabhjain16/whisper_medium_to_myst_pf_ot100

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: 0.3622
• Wer: 10.6091

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
0.5314	0.12	500	0.2762	13.2758
0.1619	1.09	1000	0.2541	11.6909
0.069	2.05	1500	0.2768	10.2892
0.0756	3.02	2000	0.2756	11.6142
0.0324	3.14	2500	0.2961	11.1800
0.0171	4.11	3000	0.3322	11.1689
0.0046	5.07	3500	0.3653	10.5858
0.0091	6.03	4000	0.3622	10.6091

Framework versions

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