edaab7e5-3c78-476c-9252-265181f36c0f

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

• Loss: 1.4548

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: 0.000201
• 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	0.0002	1	1.8474
1.7866	0.0118	50	1.7584
1.8859	0.0235	100	1.7752
1.8239	0.0353	150	1.7706
1.7062	0.0470	200	1.6970
1.7411	0.0588	250	1.6723
1.6048	0.0705	300	1.5543
1.6202	0.0823	350	1.5112
1.7322	0.0941	400	1.4810
1.5949	0.1058	450	1.4706
1.5305	0.1176	500	1.4548

Framework versions

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