trungtienluong/experiments500c

experiments

This model is a fine-tuned version of vilm/vinallama-7b-chat on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4668

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: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3854	0.7	10	0.4145
0.3751	1.4	20	0.3999
0.3457	2.11	30	0.3857
0.324	2.81	40	0.3821
0.2329	3.51	50	0.3845
0.2332	4.21	60	0.3878
0.2211	4.91	70	0.3929
0.1682	5.61	80	0.4093
0.1503	6.32	90	0.4416
0.1439	7.02	100	0.4299
0.1299	7.72	110	0.4648
0.1074	8.42	120	0.4574
0.099	9.12	130	0.4655
0.1078	9.82	140	0.4668

Framework versions

• PEFT 0.11.1
• Transformers 4.36.0
• Pytorch 2.3.0+cu121
• Datasets 2.19.2
• Tokenizers 0.15.2