End of training

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: google/gemma-2b-it
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: gemma-ai-detect-v1
+  results: []
+---
+
+<!-- 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. -->
+
+# gemma-ai-detect-v1
+
+This model is a fine-tuned version of [google/gemma-2b-it](https://huggingface.co/google/gemma-2b-it) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1378
+- Accuracy: 0.9612
+- F1: 0.9689
+- Precision: 0.9700
+- Recall: 0.9678
+
+## 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: 0.0006
+- train_batch_size: 192
+- eval_batch_size: 192
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| No log        | 1.0   | 209  | 0.1632          | 0.9322   | 0.9472 | 0.9214    | 0.9745 |
+| No log        | 2.0   | 418  | 0.1209          | 0.9524   | 0.9617 | 0.9665    | 0.9569 |
+| 0.2181        | 3.0   | 627  | 0.1280          | 0.9512   | 0.9608 | 0.9627    | 0.9590 |
+| 0.2181        | 4.0   | 836  | 0.1378          | 0.9612   | 0.9689 | 0.9700    | 0.9678 |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.5.1+cu124
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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