rishabhjain16/whisper_medium_en_to_myst_cmu_pf_ot100

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: 0.2994
• Wer: 9.7808

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
0.235	0.12	500	0.2735	11.0733
0.1927	1.06	1000	0.2339	10.5575
0.1119	1.18	1500	0.2280	9.6803
0.0863	2.12	2000	0.2379	11.0621
0.0322	3.05	2500	0.2614	9.9920
0.0303	3.17	3000	0.2611	10.2742
0.0161	4.11	3500	0.2885	10.4722
0.0513	5.04	4000	0.2994	9.7808

Framework versions

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