gemma-qwantz-punchline

This model is a fine-tuned version of unsloth/gemma-2b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.4710
• Accuracy: 0.7824

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6508	1.0	150	0.6241	0.6235
0.5972	2.0	300	0.5388	0.7353
0.4801	3.0	450	0.4710	0.7824

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1