rishabhjain16/whisper_medium_to_myst_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: 0.3853
• Wer: 10.4258

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
0.2536	0.12	500	0.2608	11.8586
0.3687	1.1	1000	0.2578	11.4576
0.1522	2.07	1500	0.2613	12.7949
0.0387	3.05	2000	0.2952	10.9378
0.014	4.02	2500	0.3271	10.6813
0.0186	4.14	3000	0.3389	10.3970
0.0057	5.12	3500	0.3670	10.6380
0.0108	6.09	4000	0.3853	10.4258

Framework versions

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