942da514-019d-4990-ac29-e1537fd24991

This model is a fine-tuned version of unsloth/gemma-2-9b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8331

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: 0.000216
• train_batch_size: 4
• eval_batch_size: 4
• seed: 160
• 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	1.0301
0.7578	0.0112	50	0.8900
0.8807	0.0224	100	0.9234
0.7241	0.0337	150	0.8763
0.9719	0.0449	200	0.8916
0.7144	0.0561	250	0.8578
0.9665	0.0673	300	0.8621
0.6938	0.0785	350	0.8451
1.0204	0.0897	400	0.8377
0.7629	0.1010	450	0.8330
0.862	0.1122	500	0.8331

Framework versions

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