language_classification_curricular_checkpoints

This model is a fine-tuned version of unsloth/whisper-large-v3-turbo on an unknown dataset.

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: 0.0002
• train_batch_size: 6
• eval_batch_size: 1
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 24
• optimizer: Use OptimizerNames.ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 69
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.56.2
• Pytorch 2.9.0+cu126
• Datasets 3.6.0
• Tokenizers 0.22.2