---
license: bigcode-openrail-m
library_name: peft
tags:
- generated_from_trainer
base_model: bigcode/starcoder
model-index:
- name: starcoder-java2py-program2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# starcoder-java2py-program2

This model is a fine-tuned version of [bigcode/starcoder](https://huggingface.co/bigcode/starcoder) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1110

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 150

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1128        | 0.17  | 25   | 0.1122          |
| 0.1148        | 0.33  | 50   | 0.1116          |
| 0.1127        | 0.5   | 75   | 0.1113          |
| 0.1149        | 0.67  | 100  | 0.1111          |
| 0.1171        | 0.83  | 125  | 0.1110          |
| 0.1149        | 1.04  | 150  | 0.1110          |


### Framework versions

- PEFT 0.5.0.dev0
- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3