BauyrjanQ/whisper-kk-speech2ner-b16-ms8k-ss2K-8ep-s-ksc_t

whisper-kk-speech2ner-b16-ms4k-ss2K-8ep-wlv2-ksc_t

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0557
• Wer: 18.6267

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: 9e-06
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• training_steps: 8000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0218	0.22	2000	0.0644	20.8004
0.0176	0.43	4000	0.0633	17.3922
0.0147	0.65	6000	0.0576	18.1864
0.0117	0.87	8000	0.0557	18.6267

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.13.1
• Tokenizers 0.13.3