0721_201833-google-gemma-2b

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

• Loss: 0.7621
• Accuracy: 0.515

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: 1e-08
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.734	0.7692	5	0.7622	0.515
0.8399	1.5385	10	0.7622	0.515
0.7834	2.3077	15	0.7622	0.515
0.7012	3.0769	20	0.7622	0.515
0.7259	3.8462	25	0.7621	0.515
0.8204	4.6154	30	0.7621	0.515
0.7768	5.3846	35	0.7621	0.515
0.8371	6.1538	40	0.7621	0.515
0.7098	6.9231	45	0.7621	0.515
0.8716	7.6923	50	0.7621	0.515
0.6456	8.4615	55	0.7621	0.515
0.7848	9.2308	60	0.7621	0.515

Framework versions

• PEFT 0.11.1
• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1