End of training

README.md

@@ -0,0 +1,71 @@
+---
+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-1
+  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-1
+
+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: 0.6802
+- Accuracy: 0.58
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7355        | 1.0   | 57   | 0.7133          | 0.5      |
+| 0.7256        | 2.0   | 114  | 0.6934          | 0.56     |
+| 0.7062        | 3.0   | 171  | 0.6824          | 0.58     |
+| 0.7048        | 4.0   | 228  | 0.6990          | 0.46     |
+| 0.6976        | 5.0   | 285  | 0.7034          | 0.5      |
+| 0.7104        | 6.0   | 342  | 0.7354          | 0.5      |
+| 0.704         | 7.0   | 399  | 0.6808          | 0.58     |
+| 0.6914        | 8.0   | 456  | 0.6776          | 0.6      |
+| 0.6878        | 9.0   | 513  | 0.6849          | 0.54     |
+| 0.6916        | 10.0  | 570  | 0.6802          | 0.58     |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu118
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:adaa1c14920f2e1dc295b903646f8daa0e85d21a4cf08ac4809478cf7da8915b
+oid sha256:d27979cb15cc5053f1e7ef4b67a22bb3e5e81f5d39a88e41ea49dec75b19b81a
 size 498612824