gemma2_9b_it_bwgenerator_older_data

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

• Loss: 0.0854

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: 0.0003
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 32
• total_train_batch_size: 128
• 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
0.4812	0.1524	100	0.1790
0.1525	0.3048	200	0.1263
0.1041	0.4572	300	0.0948
0.0913	0.6096	400	0.0931
0.0863	0.7619	500	0.0892
0.083	0.9143	600	0.0854

Framework versions

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