16e9f1fa-0db2-4723-a67b-8232bb72b388

This model is a fine-tuned version of VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.2820

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: 0.000211
• train_batch_size: 4
• eval_batch_size: 4
• seed: 110
• 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	1.7827
1.4843	0.0088	50	1.5400
1.5669	0.0176	100	1.5711
1.4269	0.0264	150	1.5191
1.5171	0.0352	200	1.4625
1.4868	0.0440	250	1.4442
1.4091	0.0528	300	1.3749
1.4567	0.0616	350	1.3321
1.3792	0.0704	400	1.2947
1.3412	0.0792	450	1.2853
1.2482	0.0881	500	1.2820

Framework versions

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