End of training

README.md

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+---
+base_model: Hello-SimpleAI/chatgpt-detector-roberta
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: ai-detect-6
+  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. -->
+
+# ai-detect-6
+
+This model is a fine-tuned version of [Hello-SimpleAI/chatgpt-detector-roberta](https://huggingface.co/Hello-SimpleAI/chatgpt-detector-roberta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4830
+- Accuracy: 0.9396
+- Precision: 0.9223
+- Recall: 0.9866
+- F1: 0.9534
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.216         | 1.0   | 6250  | 0.4401          | 0.8916   | 0.8572    | 0.9920 | 0.9197 |
+| 0.1277        | 2.0   | 12500 | 0.2963          | 0.928    | 0.9093    | 0.9831 | 0.9447 |
+| 0.0858        | 3.0   | 18750 | 0.3475          | 0.9236   | 0.8993    | 0.9887 | 0.9418 |
+| 0.0647        | 4.0   | 25000 | 0.2927          | 0.9404   | 0.9252    | 0.9843 | 0.9539 |
+| 0.0798        | 5.0   | 31250 | 0.3095          | 0.9424   | 0.9282    | 0.9840 | 0.9553 |
+| 0.0392        | 6.0   | 37500 | 0.4386          | 0.9401   | 0.9214    | 0.9887 | 0.9538 |
+| 0.0433        | 7.0   | 43750 | 0.4830          | 0.9396   | 0.9223    | 0.9866 | 0.9534 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.15.2

model.safetensors

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