big_cc_run-FineLlama-3.1-8B

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.7310

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: 0.0001
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.6386	0.6010	2000	1.6279
1.4331	1.2019	4000	1.6245
1.4318	1.8029	6000	1.6134
1.1633	2.4038	8000	1.7310

Framework versions

• PEFT 0.12.0
• Transformers 4.44.2
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1