a3be9a04-55d2-49de-8c64-e5ab0fdf27b6

This model is a fine-tuned version of unsloth/codegemma-7b-it on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.5525

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: 0.00021
• 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	0.0001	1	3.4226
3.1902	0.0028	50	2.9307
3.0452	0.0057	100	2.9712
2.9519	0.0085	150	2.9016
2.9658	0.0113	200	2.8786
2.7386	0.0142	250	2.7864
2.8606	0.0170	300	2.7226
2.874	0.0198	350	2.6388
2.9029	0.0227	400	2.5808
2.675	0.0255	450	2.5560
2.7688	0.0283	500	2.5525

Framework versions

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