Model_Finetunned

This model is a fine-tuned version of TheBloke/Llama-2-7B-Chat-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.3209

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: 0.0002
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 4
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.7664	0.9796	12	2.5081
2.2918	1.9592	24	2.1012
1.9284	2.9388	36	1.8079
1.5278	4.0	49	1.5725
1.4118	4.9796	61	1.3976
1.2716	5.9592	73	1.3459
1.2207	6.9388	85	1.3274
1.0976	8.0	98	1.3224
1.1685	8.9796	110	1.3208
1.0552	9.7959	120	1.3209

Framework versions

• PEFT 0.10.0
• Transformers 4.40.2
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1