End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-base-openai-detector
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: roberta-base-openai-detector-text2sql-approach-2
+  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-base-openai-detector-text2sql-approach-2
+
+This model is a fine-tuned version of [roberta-base-openai-detector](https://huggingface.co/roberta-base-openai-detector) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5172
+- Accuracy: 0.79
+
+## 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: 0.001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 57
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7594        | 1.0   | 57   | 0.7179          | 0.49     |
+| 0.7011        | 2.0   | 114  | 0.6381          | 0.69     |
+| 0.6694        | 3.0   | 171  | 0.6107          | 0.68     |
+| 0.6091        | 4.0   | 228  | 0.5798          | 0.75     |
+| 0.6088        | 5.0   | 285  | 0.5503          | 0.78     |
+| 0.5765        | 6.0   | 342  | 0.5418          | 0.78     |
+| 0.5857        | 7.0   | 399  | 0.5870          | 0.72     |
+| 0.5793        | 8.0   | 456  | 0.5255          | 0.79     |
+| 0.5507        | 9.0   | 513  | 0.5220          | 0.78     |
+| 0.5404        | 10.0  | 570  | 0.5172          | 0.79     |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

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