au123/LLaMA3-PoE-ER-FINAL-MODEL-PAFT-SNLI
04
<!-- 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. -->
LLaMA3-PoE-ER-FINAL-MODEL-PAFT-SNLI
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown 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: 2e-05
- trainbatchsize: 4
- evalbatchsize: 8
- seed: 42
- distributed_type: multi-GPU
- gradientaccumulationsteps: 10
- totaltrainbatch_size: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: constant
- lrschedulerwarmup_ratio: 0.03
- num_epochs: 3
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1