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LLama-3-8b
Doukan/LLama-3-8b
LLama-3-8b is a machine learning model from Doukan. 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
- Sep 29, 2024
- Updated
- Sep 29, 2024
- SHA
- 8ed6c83c
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
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1186
- Balanced Accuracy: 0.9613
- Accuracy: 0.9628
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| 0.265 | 1.0 | 227 | 0.1541 | 0.9414 | 0.9434 |
| 0.1184 | 2.0 | 454 | 0.1186 | 0.9613 | 0.9628 |
| 0.0411 | 3.0 | 681 | 0.2322 | 0.9462 | 0.9480 |
| 0.0134 | 4.0 | 908 | 0.1752 | 0.9640 | 0.9653 |
| 0.0003 | 5.0 | 1135 | 0.1796 | 0.9645 | 0.9653 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Sep 29, 2024
- Updated
- Sep 29, 2024