72b4d26e-415a-483a-9a29-c0ba284002d7

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: 0.2245

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• 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	0.3135
0.3585	0.0061	50	0.2435
0.3359	0.0121	100	0.2381
0.2896	0.0182	150	0.2366
0.3679	0.0242	200	0.2329
0.323	0.0303	250	0.2322
0.3061	0.0363	300	0.2281
0.2864	0.0424	350	0.2271
0.3025	0.0484	400	0.2264
0.2985	0.0545	450	0.2257
0.3217	0.0605	500	0.2245

Framework versions

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