---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: CodeBertaCLM
  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. -->

# CodeBertaCLM

This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 14.6482
- Accuracy: 0.0
- F1: 0.0
- Bleu4: 0.0592

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1  | Bleu4  |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---:|:------:|
| No log        | 1.0   | 1    | 16.4835         | 0.0      | 0.0 | 0.1118 |
| No log        | 2.0   | 2    | 15.8217         | 0.0      | 0.0 | 0.0940 |
| No log        | 3.0   | 3    | 15.2096         | 0.0      | 0.0 | 0.0648 |
| No log        | 4.0   | 4    | 14.6482         | 0.0      | 0.0 | 0.0592 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.7.1
- Tokenizers 0.13.2