---
library_name: transformers
base_model: microsoft/CodeGPT-small-java
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: microsoft_CodeGPT-small-java_1_ft_clm
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# microsoft_CodeGPT-small-java_1_ft_clm

This model is a fine-tuned version of [microsoft/CodeGPT-small-java](https://huggingface.co/microsoft/CodeGPT-small-java) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2841
- Accuracy: 0.7565

## 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: 8e-05
- train_batch_size: 8
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.6967        | 0.5028 | 500  | 1.3162          | 0.7521   |
| 0.6481        | 1.0050 | 1000 | 1.3002          | 0.7551   |
| 0.6091        | 1.5078 | 1500 | 1.2965          | 0.7550   |
| 0.6091        | 2.0101 | 2000 | 1.2894          | 0.7556   |
| 0.5805        | 2.5128 | 2500 | 1.2918          | 0.7556   |
| 0.557         | 3.0151 | 3000 | 1.2862          | 0.7559   |
| 0.5513        | 3.5178 | 3500 | 1.2841          | 0.7565   |
| 0.5468        | 4.0201 | 4000 | 1.2849          | 0.7562   |
| 0.5513        | 4.5229 | 4500 | 1.2895          | 0.7559   |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2