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---
base_model: ise-uiuc/Magicoder-S-DS-6.7B
datasets:
- generator
library_name: peft
license: other
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: finetune_starcoder2
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. -->
# finetune_starcoder2
This model is a fine-tuned version of [ise-uiuc/Magicoder-S-DS-6.7B](https://huggingface.co/ise-uiuc/Magicoder-S-DS-6.7B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3220
## 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: 0.0003
- train_batch_size: 1
- eval_batch_size: 5
- seed: 0
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8634 | 0.5340 | 50 | 0.6751 |
| 0.6619 | 1.0681 | 100 | 0.4653 |
| 0.5147 | 1.6021 | 150 | 0.4231 |
| 0.4761 | 2.1362 | 200 | 0.3912 |
| 0.4348 | 2.6702 | 250 | 0.3663 |
| 0.4123 | 3.2043 | 300 | 0.3515 |
| 0.3893 | 3.7383 | 350 | 0.3407 |
| 0.3769 | 4.2724 | 400 | 0.3329 |
| 0.3719 | 4.8064 | 450 | 0.3266 |
| 0.3578 | 5.3405 | 500 | 0.3220 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1 |