whisper-medium-LoRA_both

This model is a fine-tuned version of openai/whisper-medium on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1915
• Wer: 8.5302

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: 0.001
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3833	1.0	1385	0.2992	13.2344
0.2438	2.0	2770	0.2508	14.7960
0.1811	3.0	4155	0.2108	9.0182
0.1208	4.0	5540	0.1966	9.1548
0.064	5.0	6925	0.1958	8.4326
0.0227	6.0	8310	0.1915	8.5302

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.1+cu117
• Datasets 2.14.5
• Tokenizers 0.13.3