model

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

• Loss: 1.8753

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: 5e-05
• train_batch_size: 2
• eval_batch_size: 2
• seed: 4856
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.995) and epsilon=1e-08
• lr_scheduler_type: reduce_lr_on_plateau
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
2.0282	0.9999	3912	1.9913
1.8359	1.9999	7824	1.8753

Framework versions

• PEFT 0.14.0
• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0