rishabhjain16/whisper_small_to_myst_pf

openai/whisper-small

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

• Loss: 0.3551
• Wer: 12.1862

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
0.2646	0.12	500	0.3028	13.1170
0.2146	1.11	1000	0.2739	13.9555
0.2173	2.1	1500	0.2741	11.9619
0.0458	3.09	2000	0.2948	11.2066
0.0705	4.07	2500	0.3167	12.3373
0.0868	5.06	3000	0.3281	11.9397
0.0164	6.05	3500	0.3605	11.8886
0.0236	7.03	4000	0.3551	12.1862

Framework versions

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