results-Meta-Llama-3-8B-tagllm-translation-1-reserved-unsloth

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.3378

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
2.4281	0.2001	1572	2.4009
2.5502	0.4002	3144	2.3731
2.1591	0.6003	4716	2.3516
2.1645	0.8004	6288	2.3378

Framework versions

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