fa791e60-4e22-4a03-b863-e881d2ea1717

This model is a fine-tuned version of unsloth/codegemma-2b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.9334

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: 0.000208
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB 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: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0002	1	2.8174
2.1848	0.0082	50	2.2533
2.0315	0.0163	100	2.1769
1.9855	0.0245	150	2.1259
1.9998	0.0327	200	2.0603
1.9715	0.0408	250	2.0056
2.0131	0.0490	300	1.9721
1.9249	0.0572	350	1.9464
1.8742	0.0653	400	1.9433
1.9736	0.0735	450	1.9353
1.964	0.0817	500	1.9334

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1