---
base_model: microsoft/codebert-base
tags:
- generated_from_trainer
model-index:
- name: CodeBertForCodeCompletion
  results: []
---

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# CodeBertForCodeCompletion

This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0893

## 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: 5e-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
- lr_scheduler_warmup_steps: 32378.399999999998
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4921        | 1.0   | 6746  | 1.8133          |
| 1.0589        | 2.0   | 13492 | 1.3247          |
| 0.9041        | 3.0   | 20238 | 1.2026          |
| 0.8231        | 4.0   | 26984 | 1.1378          |
| 0.7376        | 5.0   | 33730 | 1.0893          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0