---
license: mit
base_model: gpt2
datasets:
- wikitext
language:
- en
- vi
metrics:
- perplexity
library_name: transformers
pipeline_tag: text-generation
tags:
- code
- text-generation-inference
- generated_from_trainer
model-index:
- name: gpt2-finetuned-wikitext2
  results: []
---

# gpt2-finetuned-wikitext2

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: {loss: 3.6248738765716553, perplexity: 37.519989013671875}

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The following hyperparameters were used during training:
- learning_rate: 5e-04
- train_batch_size: 8
- eval_batch_size: 8
- optimizer: AdamW
- lr_scheduler_type: linear
- num_epochs: 2.0

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### Results

| Epoch | Step | Validation Loss |
|:-----:|:----:|:---------------:|
| 1.0   | 1000 | 3.6487          |
| 1.0   | 2000 | 3.6033          |
| 2.0   | 1000 | 3.6578          |
| 2.0   | 2000 | 3.6434          |


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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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