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Llama-3-8B-ARC-Challenge-LoRA
mogmyij/Llama-3-8B-ARC-Challenge-LoRA
Llama-3-8B-ARC-Challenge-LoRA is a machine learning model from mogmyij. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 20, 2024
- SHA
- fde932df
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-3-8B-ARC-Challenge-LoRA
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4420
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-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8594 | 1.0 | 140 | 1.5494 |
| 1.4189 | 2.0 | 280 | 1.4478 |
| 1.5342 | 3.0 | 420 | 1.4420 |
Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.1
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Jul 19, 2024
- Updated
- Jul 20, 2024