AN_demo_v2

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

• Loss: 0.3792
• Wer Ortho: 23.8944
• Wer: 18.9022

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Ortho	Wer
0.6122	0.05	100	0.6629	26.6227	21.4371
0.2959	0.09	200	0.4153	26.0069	20.7252
0.3019	0.14	300	0.3976	24.9762	19.9102
0.2674	0.18	400	0.3872	24.2108	19.3480
0.2821	0.23	500	0.3792	23.8944	18.9022

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1