rishabhjain16/whisper_large_v2_to_pf10h

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: 0.1534
• Wer: 145.6786

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
0.0799	2.03	500	0.1010	28.1322
0.0239	5.01	1000	0.1388	161.0139
0.0066	7.03	1500	0.1221	99.3747
0.0007	10.01	2000	0.1295	250.8822
0.0007	12.04	2500	0.1423	77.2203
0.0003	15.02	3000	0.1480	149.4380
0.0001	17.05	3500	0.1518	141.5842
0.0001	20.02	4000	0.1534	145.6786

Framework versions

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