---
license: mit
tags:
- generated_from_trainer
datasets:
- common_gen
model-index:
- name: gpt2-xl-finetuned-commongen
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gpt2-xl-finetuned-commongen

This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on the common_gen dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1408

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2196        | 1.0   | 574  | 2.0510          |
| 1.7181        | 2.0   | 1148 | 2.1408          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.11.0+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2