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--- |
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license: llama3 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: meta-llama/Meta-Llama-3-8B |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: llama3-ai-detector-v3-20k-32batch-512max-len |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# llama3-ai-detector-v3-20k-32batch-512max-len |
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1170 |
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- Accuracy: 0.9662 |
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- Precision: 0.9865 |
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- Recall: 0.9590 |
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- F1: 0.9726 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.3286 | 1.0 | 625 | 0.1242 | 0.9502 | 0.9842 | 0.9353 | 0.9591 | |
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| 0.1012 | 2.0 | 1250 | 0.1170 | 0.9662 | 0.9865 | 0.9590 | 0.9726 | |
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| 0.0543 | 3.0 | 1875 | 0.1445 | 0.9688 | 0.9717 | 0.9785 | 0.9751 | |
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| 0.0082 | 4.0 | 2500 | 0.1693 | 0.9688 | 0.9802 | 0.9696 | 0.9749 | |
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| 0.0015 | 5.0 | 3125 | 0.1849 | 0.9702 | 0.9784 | 0.9737 | 0.9761 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.40.0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
