End of training

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+- f1
+model-index:
+- name: roberta-large-AI-detection
+  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. -->
+
+# roberta-large-AI-detection
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5246
+- Accuracy: 0.7574
+- Recall: 0.8155
+- Precision: 0.7625
+- F1: 0.7881
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6903        | 1.0   | 197  | 0.6773          | 0.5533   | 1.0    | 0.5533    | 0.7124 |
+| 0.5917        | 2.0   | 394  | 0.6918          | 0.7189   | 0.8503 | 0.7035    | 0.7700 |
+| 0.6437        | 3.0   | 591  | 0.5689          | 0.7485   | 0.8209 | 0.7488    | 0.7832 |
+| 0.5568        | 4.0   | 788  | 0.5246          | 0.7574   | 0.8155 | 0.7625    | 0.7881 |
+| 0.6706        | 5.0   | 985  | 0.6416          | 0.7870   | 0.8690 | 0.7738    | 0.8186 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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special_tokens_map.json

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tokenizer_config.json

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+}