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--- |
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license: gemma |
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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: google/gemma-2b-it |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: gemma-ai-detect-v3-multilingual |
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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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# gemma-ai-detect-v3-multilingual |
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This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1267 |
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- Accuracy: 0.9737 |
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- F1: 0.9787 |
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- Precision: 0.9802 |
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- Recall: 0.9772 |
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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: 56 |
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- eval_batch_size: 56 |
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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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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
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| 0.1048 | 1.0 | 1072 | 0.0781 | 0.9691 | 0.9751 | 0.9734 | 0.9767 | |
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| 0.0373 | 2.0 | 2144 | 0.0925 | 0.9701 | 0.9757 | 0.9817 | 0.9698 | |
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| 0.0073 | 3.0 | 3216 | 0.1267 | 0.9737 | 0.9787 | 0.9802 | 0.9772 | |
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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 2.5.1+cu124 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
