gemma2_9b_bwgenerator

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

• Loss: 0.0776

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1614	0.2568	1000	0.0964
0.0884	0.5136	2000	0.0833
0.0803	0.7704	3000	0.0776

Framework versions

• PEFT 0.10.0
• Transformers 4.44.0
• Pytorch 2.3.0+cu121
• Datasets 2.14.7
• Tokenizers 0.19.1