---
license: cc-by-nc-4.0
base_model: facebook/incoder-1B
tags:
- generated_from_trainer
model-index:
- name: fineTuneIncoderWithPrompt
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# fineTuneIncoderWithPrompt

This model is a fine-tuned version of [facebook/incoder-1B](https://huggingface.co/facebook/incoder-1B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1699

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2099        | 1.0   | 500  | 0.1580          |
| 0.1301        | 2.0   | 1000 | 0.1487          |
| 0.1028        | 3.0   | 1500 | 0.1481          |
| 0.0838        | 4.0   | 2000 | 0.1547          |
| 0.069         | 5.0   | 2500 | 0.1699          |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1