Mahafit/noc_combine_v2

Whisper large - Noc Operation

This model is a fine-tuned version of biodatlab/whisper-th-large-v3 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.1866
• Wer: 61.6917

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: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 25
• training_steps: 100
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.3737	0.1092	50	0.2021	67.9561
0.3101	0.2183	100	0.1866	61.6917

Framework versions

• Transformers 4.48.0
• Pytorch 2.7.1+cu128
• Datasets 3.6.0
• Tokenizers 0.21.4