---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: xsum-gpt2-long
  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. -->

# xsum-gpt2-long

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0751
- Ppl: 22.3764

## 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: 0.0005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 22554
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2000
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Ppl     |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 3.662         | 2.5   | 4000  | 3.5005          | 34.2753 |
| 3.3365        | 4.99  | 8000  | 3.2677          | 27.1321 |
| 3.2005        | 7.49  | 12000 | 3.1715          | 24.6352 |
| 3.1102        | 9.98  | 16000 | 3.1144          | 23.2719 |
| 3.0517        | 12.48 | 20000 | 3.0830          | 22.5529 |
| 3.0267        | 14.97 | 24000 | 3.0751          | 22.3764 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.14.6
- Tokenizers 0.14.1