whisper-large-v2_lv_70

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

• Loss: 0.7866
• Wer: 41.4714

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• 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
0.3981	1.4376	1000	0.5440	55.8424
0.276	2.8769	2000	0.5551	41.6523
0.1338	4.3163	3000	0.6478	43.4349
0.1031	5.7538	4000	0.7131	44.2288
0.0494	7.1914	5000	0.7866	41.4714

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu118
• Datasets 3.0.0
• Tokenizers 0.19.1