gemma2-9b-4bit-qlora

This model is a fine-tuned version of unsloth/gemma-2-9b-it-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.4238

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: 0.0002
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
8.2352	0.2036	50	7.5529
5.4001	0.4072	100	5.1485
3.9619	0.6108	150	3.8688
3.4514	0.8144	200	3.4238

Framework versions

• PEFT 0.13.0
• Transformers 4.45.1
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.20.0