whisper_small_tw8

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: 3.0869
• Wer: 1.2058

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: 6.25e-06
• 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
• lr_scheduler_warmup_steps: 1200
• training_steps: 2400

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.6067	2.92	400	2.8624	2.0150
1.4795	5.84	800	2.2551	2.0746
0.6801	8.76	1200	2.4568	1.2906
0.1654	11.68	1600	2.7040	1.1842
0.0327	14.6	2000	2.9412	1.2688
0.0092	17.52	2400	3.0869	1.2058

Framework versions

• Transformers 4.34.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3