---
license: apache-2.0
base_model: Deci/DeciCoder-1b
tags:
- generated_from_trainer
model-index:
- name: peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab
  results: []
library_name: peft
---

<!-- 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. -->

# peft-lora-DeciCoder1b-personal-copilot-A100-40GB-colab

This model is a fine-tuned version of [Deci/DeciCoder-1b](https://huggingface.co/Deci/DeciCoder-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3977

## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.831         | 0.05  | 100  | 0.7074          |
| 0.7092        | 0.1   | 200  | 0.5904          |
| 0.6971        | 0.15  | 300  | 0.5637          |
| 0.8405        | 0.2   | 400  | 0.5363          |
| 0.6548        | 0.25  | 500  | 0.5126          |
| 0.6022        | 0.3   | 600  | 0.4634          |
| 0.6568        | 0.35  | 700  | 0.4529          |
| 0.87          | 0.4   | 800  | 0.4491          |
| 0.4818        | 0.45  | 900  | 0.4438          |
| 0.5067        | 0.5   | 1000 | 0.4117          |
| 0.4578        | 0.55  | 1100 | 0.4044          |
| 0.5909        | 0.6   | 1200 | 0.4041          |
| 0.3646        | 0.65  | 1300 | 0.4027          |
| 0.4597        | 0.7   | 1400 | 0.3963          |
| 0.3385        | 0.75  | 1500 | 0.3935          |
| 0.2696        | 0.8   | 1600 | 0.3955          |
| 0.3011        | 0.85  | 1700 | 0.3966          |
| 0.2931        | 0.9   | 1800 | 0.3980          |
| 0.2904        | 0.95  | 1900 | 0.3978          |
| 0.2669        | 1.0   | 2000 | 0.3977          |


### Framework versions

- PEFT 0.5.0.dev0
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3