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Output_llama3_80-20_hub
Ahatsham/Output_llama3_80-20_hub
Output_llama3_80-20_hub is a machine learning model from Ahatsham. 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
- Mar 6, 2025
- Updated
- Mar 6, 2025
- SHA
- 02206564
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. -->
Output_llama3_80-20_hub
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: 0.6201
- Balanced Accuracy: 0.6717
- Accuracy: 0.6746
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-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| No log | 1.0 | 105 | 0.6850 | 0.5818 | 0.6077 |
| No log | 2.0 | 210 | 0.6639 | 0.6514 | 0.6651 |
| No log | 3.0 | 315 | 0.6568 | 0.6657 | 0.6651 |
| No log | 4.0 | 420 | 0.6265 | 0.6757 | 0.6794 |
| 0.6842 | 5.0 | 525 | 0.6201 | 0.6717 | 0.6746 |
Framework versions
- PEFT 0.10.0
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3
- Library
- peft
- License
- llama3
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025