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README.md ADDED
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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: llama-ai-detect-v3-test-vastai
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+ results: []
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+ ---
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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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+
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+ # llama-ai-detect-v3-test-vastai
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+
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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: 0.7499
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+ - Accuracy: 0.7
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+ - Precision: 0.7143
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+ - Recall: 0.8333
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+ - F1: 0.7692
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 1 | 1.0919 | 0.6 | 0.6667 | 0.6667 | 0.6667 |
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+ | No log | 2.0 | 2 | 0.9340 | 0.7 | 0.7143 | 0.8333 | 0.7692 |
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+ | No log | 3.0 | 3 | 0.8300 | 0.7 | 0.7143 | 0.8333 | 0.7692 |
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+ | No log | 4.0 | 4 | 0.7732 | 0.7 | 0.7143 | 0.8333 | 0.7692 |
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+ | No log | 5.0 | 5 | 0.7499 | 0.7 | 0.7143 | 0.8333 | 0.7692 |
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+
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+
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+ ### Framework versions
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+
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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
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