whisper-dpv-finetuned-WITH-AUGMENTATION-LOWER-LR

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

• Loss: 0.5717
• Wer: 34.5241

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-06
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.6221	0.62	1000	0.5345	35.9711
0.4318	1.25	2000	0.5271	34.9537
0.3859	1.87	3000	0.5338	34.3658
0.3005	2.49	4000	0.5532	34.8858
0.2444	3.12	5000	0.5628	33.7102
0.315	3.74	6000	0.5717	34.5241

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.12.1
• Datasets 2.7.1
• Tokenizers 0.13.2