results-Meta-Llama-3-8B-qlora-translation-no-lang

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.8660

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 10
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.9623	0.2000	4714	1.9352
1.7805	0.4000	9428	1.9061
1.7431	0.6001	14142	1.8862
1.6658	0.8001	18856	1.8660

Framework versions

• PEFT 0.10.0
• Transformers 4.40.1
• Pytorch 2.2.1
• Datasets 2.19.0
• Tokenizers 0.19.1