0721_222324-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: 0.2063
• Accuracy: 1.0

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-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 100.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6308	3.3333	5	0.6551	0.7
0.6283	6.6667	10	0.6179	0.75
0.5927	10.0	15	0.5822	0.75
0.6668	13.3333	20	0.5473	0.8
0.5427	16.6667	25	0.5125	0.85
0.5109	20.0	30	0.4783	0.85
0.4731	23.3333	35	0.4456	0.95
0.4261	26.6667	40	0.4137	0.95
0.3719	30.0	45	0.3832	0.95
0.4027	33.3333	50	0.3542	0.95
0.3231	36.6667	55	0.3276	1.0
0.3292	40.0	60	0.3032	1.0
0.3517	43.3333	65	0.2810	1.0
0.2759	46.6667	70	0.2618	1.0
0.2743	50.0	75	0.2448	1.0
0.2651	53.3333	80	0.2310	1.0
0.2181	56.6667	85	0.2203	1.0
0.2067	60.0	90	0.2127	1.0
0.2268	63.3333	95	0.2081	1.0
0.2014	66.6667	100	0.2063	1.0

Framework versions

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