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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MLM_FinetunedModel

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the code_search_net dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4474

## 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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 157  | 0.4651          |
| 0.5482        | 2.0   | 314  | 0.4569          |
| 0.5482        | 3.0   | 471  | 0.4488          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0