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---
library_name: transformers
license: mit
base_model: openai-community/gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-python-purpose
results: []
datasets:
- flytech/python-codes-25k
language:
- en
---
<!-- 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. -->
# gpt2-finetuned-python-purpose
This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on [flytech/python-codes-25k](https://huggingface.co/flytech/python-codes-25k).
It achieves the following results on the evaluation set:
- Loss: 0.4763
## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.0083 | 1.0 | 8233 | 0.9360 |
| 0.6853 | 2.0 | 16466 | 0.7537 |
| 0.4557 | 3.0 | 24699 | 0.6140 |
| 0.271 | 4.0 | 32932 | 0.5133 |
| 0.1585 | 5.0 | 41165 | 0.4763 |
### Framework versions
- Transformers 4.57.1
- Pytorch 2.4.1+cu121
- Datasets 4.4.1
- Tokenizers 0.22.1 |