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---
license: bigcode-openrail-m
base_model: bigcode/starcoderbase-7b
tags:
- generated_from_trainer
model-index:
- name: peft-lora-starcoderbase7b-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. -->
# peft-lora-starcoderbase7b-personal-copilot-A100-40GB-colab
This model is a fine-tuned version of [bigcode/starcoderbase-7b](https://huggingface.co/bigcode/starcoderbase-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5210
## 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: 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: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.737 | 0.1 | 100 | 0.6840 |
| 0.7086 | 0.2 | 200 | 0.6227 |
| 0.721 | 0.3 | 300 | 0.5667 |
| 0.6248 | 0.4 | 400 | 0.5434 |
| 0.5456 | 0.5 | 500 | 0.5394 |
| 0.5964 | 0.6 | 600 | 0.5293 |
| 0.5655 | 0.7 | 700 | 0.5220 |
| 0.6456 | 0.8 | 800 | 0.5213 |
| 0.5496 | 0.9 | 900 | 0.5206 |
| 0.6356 | 1.0 | 1000 | 0.5210 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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