whisper-small-transcripro_c

This model is a fine-tuned version of ZeroHer0/whisper-small-transcripro_c on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1809
• Wer: 67.3159

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch 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: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0159	0.4831	200	1.1499	63.2380
0.0101	0.9662	400	1.1846	65.3074
0.0057	1.4493	600	1.1855	67.0116
0.0063	1.9324	800	1.1855	67.7419
0.0005	2.4155	1000	1.1809	67.3159

Framework versions

• Transformers 4.46.3
• Pytorch 2.5.1+cu121
• Datasets 3.1.0
• Tokenizers 0.20.3