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llama3.1-8b-instruct-factalign-v02
Factiverse/llama3.1-8b-instruct-factalign-v02
llama3.1-8b-instruct-factalign-v02 is a machine learning model from Factiverse. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Model type
- llama
- Access
- Public
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026
- SHA
- 7ee7620b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
kto-it03-v01-merged
This model is a fine-tuned version of experiments/reruns-llama3.1-8b-instruct/kto-it02-v01-merged on the Factiverse/factalign-llama3.1-8b-kto-it02-v1-f1_0.5 dataset.
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: 5e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- total_eval_batch_size: 2
- optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.57.6
- Pytorch 2.3.0+cu121
- Datasets 4.8.4
- Tokenizers 0.22.2
- Library
- peft
- Type
- llama
- Created
- Sep 22, 2026
- Updated
- Sep 22, 2026