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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: codeparrot-ds
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. -->
# codeparrot-ds
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5232
## 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: 152
- eval_batch_size: 152
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1382 | 0.09 | 100 | 5.0409 |
| 4.6763 | 0.18 | 200 | 4.5291 |
| 4.1844 | 0.27 | 300 | 4.0911 |
| 3.7959 | 0.36 | 400 | 3.7670 |
| 3.4769 | 0.45 | 500 | 3.4760 |
| 3.2109 | 0.54 | 600 | 3.2396 |
| 2.9961 | 0.63 | 700 | 3.0584 |
| 2.8295 | 0.73 | 800 | 2.9007 |
| 2.6731 | 0.82 | 900 | 2.7664 |
| 2.565 | 0.91 | 1000 | 2.6825 |
| 2.4186 | 1.0 | 1100 | 2.5232 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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