results-Meta-Llama-3-8B-qlora-pos-no-tag

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.4650

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: 12
• eval_batch_size: 12
• 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
1.5879	0.2	162	1.6919
1.2045	0.4	324	1.5618
1.5776	0.6	486	1.5159
1.6051	0.8	648	1.4803
1.3521	1.0	810	1.4650

Framework versions

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