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

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: 0.3625

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.8203        | 0.05  | 100  | 0.8005          |
| 0.762         | 0.1   | 200  | 0.6704          |
| 0.7456        | 0.15  | 300  | 0.5798          |
| 0.6643        | 0.2   | 400  | 0.5415          |
| 0.6           | 0.25  | 500  | 0.5266          |
| 0.5847        | 0.3   | 600  | 0.4981          |
| 0.5323        | 0.35  | 700  | 0.4616          |
| 0.608         | 0.4   | 800  | 0.4527          |
| 0.4632        | 0.45  | 900  | 0.4480          |
| 0.5385        | 0.5   | 1000 | 0.4285          |
| 0.4835        | 0.55  | 1100 | 0.4098          |
| 0.5149        | 0.6   | 1200 | 0.3829          |
| 0.4233        | 0.65  | 1300 | 0.3768          |
| 0.5448        | 0.7   | 1400 | 0.3696          |
| 0.3498        | 0.75  | 1500 | 0.3663          |
| 0.7823        | 0.8   | 1600 | 0.3637          |
| 0.3285        | 0.85  | 1700 | 0.3618          |
| 0.3635        | 0.9   | 1800 | 0.3636          |
| 0.3066        | 0.95  | 1900 | 0.3630          |
| 0.4495        | 1.0   | 2000 | 0.3625          |


### Framework versions

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