53ebba41-01c2-4286-9575-76cecdb01cb3

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

• Loss: 2.4255

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: 0.000204
• 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	3.0761
2.5419	0.0032	50	2.5246
2.5278	0.0064	100	2.5520
2.3569	0.0096	150	2.5619
2.4684	0.0128	200	2.4940
2.3954	0.0160	250	2.4938
2.4642	0.0192	300	2.4635
2.458	0.0225	350	2.4442
2.3964	0.0257	400	2.4310
2.4161	0.0289	450	2.4265
2.5162	0.0321	500	2.4255

Framework versions

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