whisper-large-v2_lv_60

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.8488
• Wer: 40.1058

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: 3e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 32
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: constant_with_warmup
• lr_scheduler_warmup_steps: 50
• num_epochs: 8
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.7165	1.2594	1000	0.5753	48.6640
4.5588	2.5189	2000	0.5946	39.7174
3.1389	3.7783	3000	0.6317	41.1180
1.1761	5.0378	4000	0.7433	39.6426
1.0312	6.2972	5000	0.7913	39.5923
0.9134	7.5567	6000	0.8488	40.1058

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0