---
base_model: microsoft/codebert-base-mlm
tags:
- generated_from_trainer
model-index:
- name: codebert_4
  results: []
---

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# codebert_4

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6085

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7798        | 1.0   | 524  | 0.6483          |
| 0.6994        | 2.0   | 1048 | 0.6122          |
| 0.6585        | 3.0   | 1572 | 0.5789          |
| 0.6499        | 4.0   | 2096 | 0.5766          |
| 0.6222        | 5.0   | 2620 | 0.5661          |
| 0.6106        | 6.0   | 3144 | 0.6085          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2