TheRains/output-medium-id

Whisper medium ID - Augmented

This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_12_0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.4065
• Wer: 99.7590

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: 2
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.4562	0.02	200	1.0805	106.6186
1.2687	0.05	400	0.8628	90.1909
1.2806	0.07	600	0.8015	98.6233
0.9542	0.1	800	0.5424	99.7379
0.6867	0.12	1000	0.4065	99.7590

Framework versions

• Transformers 4.29.0.dev0
• Pytorch 2.0.0+cu117
• Datasets 2.10.1
• Tokenizers 0.13.2