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---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: gpt2-finetuned-wikitext2
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. -->
# gpt2-finetuned-wikitext2
**THE GITHUB REPO OF THIS MODEL [HERE](https://github.com/lengoctuong/Research-Transformer-and-fine_tune-GPT2).**
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3943
- Perplexity: 29.7930
## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- optimizer: AdamW
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9315 | 1.0 | 49 | 3.6200 |
| 3.8128 | 1.0 | 112 | 3.4878 |
| 3.5448 | 2.0 | 195 | 3.4476 |
| 3.4743 | 2.0 | 258 | 3.4325 |
| 3.5040 | 3.0 | 391 | 3.4216 |
| 3.4371 | 3.0 | 404 | 3.4142 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
|