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
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Model tree for Factiverse/llama3.1-8b-instruct-factalign-v02
Base model
meta-llama/Llama-3.1-8B Finetuned
meta-llama/Llama-3.1-8B-Instruct