subhadeep_whisper_small_finetune_teacher_babble_noise_libri_100_epochs_batch_4

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

• Loss: 0.3422
• Wer: 15.6961

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: 0.0005
• train_batch_size: 4
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 256
• total_train_batch_size: 1024
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine_with_restarts
• lr_scheduler_warmup_ratio: 0.2
• num_epochs: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3854	3.68	100	0.1916	12.3782
0.0214	7.39	200	0.2210	12.6356
0.0209	11.11	300	0.2540	13.5455
0.0698	14.79	400	0.2788	13.9829
0.0206	18.5	500	0.3106	14.8156
0.0236	22.22	600	0.3422	15.6961

Framework versions

• Transformers 4.25.1
• Pytorch 1.12.1
• Datasets 2.8.0
• Tokenizers 0.13.2