rishabhjain16/whisper_medium_en_to_myst_cmu_pf_ot50

openai/whisper-medium.en

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

• Loss: 0.2960
• Wer: 10.3463

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
0.3449	0.12	500	0.2603	10.9738
0.3078	1.07	1000	0.2300	10.4144
0.0824	2.01	1500	0.2341	9.5919
0.1783	2.13	2000	0.2283	10.2529
0.0161	3.08	2500	0.2648	10.2387
0.0088	4.02	3000	0.2778	10.1778
0.0053	4.14	3500	0.2852	10.5260
0.0083	5.09	4000	0.2960	10.3463

Framework versions

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