Llama-3.1-8B-Instruct-contracts-FinetuneLlama3.18b

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 5.8320

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: 2.5e-05
• train_batch_size: 4
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 2000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
3.0052	0.0048	500	5.9875
2.9893	0.0097	1000	5.8913
2.9163	0.0145	1500	5.8489
2.9017	0.0194	2000	5.8320

Framework versions

• PEFT 0.13.2
• Transformers 4.46.1
• Pytorch 2.4.0+cu121
• Datasets 3.0.1
• Tokenizers 0.20.1