---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-1b
tags:
- generated_from_trainer
model-index:
- name: starcoderbase1b-personal-copilot-A100-40GB-colab-1b
  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. -->

# starcoderbase1b-personal-copilot-A100-40GB-colab-1b

This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8660

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 30
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6802        | 0.05  | 100  | 2.4316          |
| 1.6009        | 0.1   | 200  | 1.9687          |
| 1.118         | 0.15  | 300  | 1.4213          |
| 0.9805        | 0.2   | 400  | 1.2800          |
| 1.2515        | 0.25  | 500  | 1.2094          |
| 1.1289        | 0.3   | 600  | 1.1665          |
| 1.069         | 0.35  | 700  | 0.9681          |
| 0.8232        | 0.4   | 800  | 0.9157          |
| 0.8186        | 0.45  | 900  | 0.9054          |
| 0.9282        | 0.5   | 1000 | 0.8904          |
| 1.0739        | 0.55  | 1100 | 0.8726          |
| 1.4045        | 0.6   | 1200 | 0.8713          |
| 1.3319        | 0.65  | 1300 | 0.8699          |
| 0.8325        | 0.7   | 1400 | 0.8673          |
| 0.8188        | 0.75  | 1500 | 0.8645          |
| 1.401         | 0.8   | 1600 | 0.8680          |
| 0.7713        | 0.85  | 1700 | 0.8666          |
| 0.9051        | 0.9   | 1800 | 0.8664          |
| 0.8787        | 0.95  | 1900 | 0.8660          |
| 0.8024        | 1.0   | 2000 | 0.8660          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0