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llama-3.1-spam-vs-no-spam-classification
edvaldomelo/llama-3.1-spam-vs-no-spam-classification
llama-3.1-spam-vs-no-spam-classification is a machine learning model from edvaldomelo. 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
- Nov 7, 2025
- Updated
- Nov 14, 2025
- SHA
- 258a73da
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-spam-vs-no-spam-classification
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1263
- F1: 0.9926
- Precision: 1.0
- Recall: 0.9854
- Auc: 0.9993
- Accuracy: 0.9965
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: 0.000347
- train_batch_size: 22
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.011187
- num_epochs: 5
Training results
Framework versions
- PEFT 0.17.1
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- peft
- License
- llama3.1
- Created
- Nov 7, 2025
- Updated
- Nov 14, 2025