End of training
Browse files- README.md +71 -0
- adapter_model.safetensors +1 -1
README.md
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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
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 313836736
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version https://git-lfs.github.com/spec/v1
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oid sha256:cd061741f0745b5d36785bb37a8670f843f067ef33797e30615f2a7e0ab8fbf3
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size 313836736
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