whisper-dpv-finetuned-WITH-AUGMENTATION-AUGMENTED-ALL

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: 0.6523
• Wer: 35.1345

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: 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: 50
• num_epochs: 4
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3432	1.25	1000	0.5472	37.2824
0.138	2.49	2000	0.5765	37.0563
0.0569	3.74	3000	0.6523	35.1345

Framework versions

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