gemma-7b-ft-80row-alpaca-correcting-mistakes

This model is a fine-tuned version of google/gemma-7b 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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 3
• total_train_batch_size: 6
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 150

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.4.0+cu124
• Datasets 2.20.0
• Tokenizers 0.19.1