---
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/codebert-base-mlm
datasets:
- apps
model-index:
- name: SFTCodeBertbase-mlm-APPS5k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# SFTCodeBertbase-mlm-APPS5k

This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on the apps dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9251

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 5000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.2308        | 1.61  | 500  | 2.3196          |
| 2.1364        | 3.22  | 1000 | 2.1168          |
| 1.9211        | 4.83  | 1500 | 2.0125          |
| 1.776         | 6.44  | 2000 | 1.9736          |
| 1.6872        | 8.05  | 2500 | 1.9470          |
| 1.6137        | 9.65  | 3000 | 1.9344          |
| 1.5724        | 11.26 | 3500 | 1.9288          |
| 1.533         | 12.87 | 4000 | 1.9267          |
| 1.5211        | 14.48 | 4500 | 1.9246          |
| 1.5115        | 16.09 | 5000 | 1.9251          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2