gemma-7b-gemma

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: 7.0642

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: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• training_steps: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.03	2	12.7700
No log	0.05	4	11.1219
11.8975	0.08	6	9.5427
11.8975	0.1	8	8.2244
8.4649	0.13	10	7.0642

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