---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilgpt2-finetune-acl22
  results: []
---

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# distilgpt2-finetune-acl22

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the [ACL-anthology-corpus](https://github.com/shauryr/ACL-anthology-corpus) dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4835

## Model description

We finetune the gpt2 LLM on the full-text from ACL-anthology-corpus


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 256
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.6676        | 1.0   | 9852  | 3.5623          |
| 3.5959        | 2.0   | 19704 | 3.4995          |
| 3.5719        | 3.0   | 29556 | 3.4835          |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1