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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: codebert-python-custom-functions-dataset-python
+  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. -->
+
+# codebert-python-custom-functions-dataset-python
+
+This model is a fine-tuned version of [neulab/codebert-python](https://huggingface.co/neulab/codebert-python) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1649
+
+## 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 42   | 1.5320          |
+| No log        | 2.0   | 84   | 0.5192          |
+| No log        | 3.0   | 126  | 0.2679          |
+| No log        | 4.0   | 168  | 0.1871          |
+| No log        | 5.0   | 210  | 0.1649          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3