training

This model is a fine-tuned version of ibm-granite/granite-3.0-8b-instruct 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: 0.0001
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 32
• optimizer: Use paged_lion_8bit and the args are: No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 1

Training results

Framework versions

• PEFT 0.13.2
• Transformers 4.47.0.dev0
• Pytorch 2.5.0+cu121
• Datasets 2.19.1
• Tokenizers 0.20.2