pxaudio_vi_model

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

• Loss: 0.9727
• Wer: 44.4128

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: 16
• eval_batch_size: 8
• 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: 5000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0684	5.75	1000	0.7458	42.6363
0.0031	11.49	2000	0.8738	43.9632
0.001	17.24	3000	0.9290	44.3031
0.0015	22.99	4000	0.9625	44.4457
0.0005	28.74	5000	0.9727	44.4128

Framework versions

• Transformers 4.33.3
• Pytorch 2.2.0+cu118
• Datasets 2.16.1
• Tokenizers 0.13.3