gemma2_9b_it_bwgenerator

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: 0.1001

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
0.6548	0.1050	50	0.2791
0.2089	0.2100	100	0.1805
0.1682	0.3149	150	0.1557
0.1494	0.4199	200	0.1405
0.1362	0.5249	250	0.1293
0.126	0.6299	300	0.1210
0.1109	0.7349	350	0.1042
0.1033	0.8398	400	0.1012
0.1007	0.9448	450	0.1001

Framework versions

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