End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- generator
+metrics:
+- accuracy
+model-index:
+- name: distilbert-sql-timeout-classifier-with-features-4096-sql-normalized
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: generator
+      type: generator
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8906033190875284
+---
+
+<!-- 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. -->
+
+# distilbert-sql-timeout-classifier-with-features-4096-sql-normalized
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5598
+- Accuracy: 0.8906
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5057        | 1.0   | 1938 | 0.4010          | 0.8793   |
+| 0.3304        | 2.0   | 3876 | 0.4271          | 0.8945   |
+| 0.2143        | 3.0   | 5814 | 0.4978          | 0.8872   |
+| 0.2079        | 4.0   | 7752 | 0.6021          | 0.8776   |
+| 0.1329        | 5.0   | 9690 | 0.5598          | 0.8906   |
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

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