gemma-7b-gemma-finetune

This model is a fine-tuned version of google/gemma-7b on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 8.0358

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: 4
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0	2	11.2435
No log	0.0	4	9.6105
9.5985	0.01	6	8.7049
9.5985	0.01	8	8.2248
8.0151	0.01	10	8.0358

Framework versions

• PEFT 0.10.1.dev0
• Transformers 4.40.0.dev0
• Pytorch 2.2.1+cu121
• Datasets 2.18.0
• Tokenizers 0.15.2