rishabhjain16/whisper_large_to_myst55h

openai/whisper-large

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

• Loss: 0.4047
• Wer: 11.5273

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
0.5744	0.12	500	0.3488	14.3862
0.2143	1.02	1000	0.2956	12.6669
0.1776	1.15	1500	0.2892	11.5103
0.0562	2.04	2000	0.3257	11.8171
0.168	2.17	2500	0.3115	12.6878
0.0178	3.07	3000	0.3849	11.3784
0.0262	3.19	3500	0.3734	11.3523
0.0083	4.09	4000	0.4047	11.5273

Framework versions

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