rishabhjain16/whisper_large_v2_to_myst_pf

openai/whisper-large-v2

This model is a fine-tuned version of openai/whisper-large-v2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2854
• Wer: 289.4487

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
0.2532	0.12	500	0.2796	103.4731
0.2271	0.25	1000	0.2544	24.4680
0.1485	1.1	1500	0.2458	222.2511
0.1961	1.22	2000	0.2384	299.0626
0.0644	2.07	2500	0.2608	389.4986
0.1381	2.2	3000	0.2518	330.6300
0.0492	3.05	3500	0.2898	329.1239
0.0251	3.17	4000	0.2854	289.4487

Framework versions

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