244bde5e-38f7-4513-b43d-638ced78af2d

This model is a fine-tuned version of Orenguteng/Llama-3-8B-Lexi-Uncensored on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8742

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: 0.00021
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0006	1	3.0270
2.234	0.0290	50	1.9737
1.7713	0.0579	100	1.6467
1.5041	0.0869	150	1.4490
1.3415	0.1158	200	1.3033
1.1793	0.1448	250	1.1859
1.0296	0.1738	300	1.0473
1.016	0.2027	350	0.9584
0.8373	0.2317	400	0.9039
0.9073	0.2606	450	0.8791
0.8511	0.2896	500	0.8742

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1