CFcontract_llama3.1-8B-unsloth

This model is a fine-tuned version of unsloth/llama-3-8b-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9835

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: 2
• eval_batch_size: 8
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.9976	206	1.3437
No log	2.0	413	1.3596
1.2049	2.9976	619	1.4431
1.2049	4.0	826	1.5887
0.5606	4.9976	1032	1.7751
0.5606	5.9855	1236	1.9835

Framework versions

• PEFT 0.12.0
• Transformers 4.45.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.20.1