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Llama-3.1-8B-Instruct_holistic
Incomple/Llama-3.1-8B-Instruct_holistic
Llama-3.1-8B-Instruct_holistic is a machine learning model from Incomple. 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. The card lists the license as llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Feb 22, 2025
- Updated
- Feb 22, 2025
- SHA
- 2d2d0d29
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. -->
Llama-3.1-8B-Instruct_holistic
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the holistic 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH 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
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.49.0
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0
- Library
- peft
- License
- llama3.1
- Created
- Feb 22, 2025
- Updated
- Feb 22, 2025