gemma-7b-gem

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

• Loss: 1.1198

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: 2.5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 15

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.016	2	1.1601
No log	0.032	4	1.1470
1.1276	0.048	6	1.1375
1.1276	0.064	8	1.1304
1.1805	0.08	10	1.1252
1.1805	0.096	12	1.1217
1.1805	0.112	14	1.1198

Framework versions

• PEFT 0.10.1.dev0
• Transformers 4.40.0.dev0
• Pytorch 2.2.2+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2