results

This model is a fine-tuned version of ibm-granite/granite-3b-code-instruct on the None 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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: constant
• training_steps: 10000

Framework versions

• PEFT 0.10.0
• Transformers 4.41.0
• Pytorch 2.2.0
• Datasets 2.16.1
• Tokenizers 0.19.1