---
tags:
- generated_from_trainer
datasets:
- xsum
model-index:
- name: ReFormer-summarization
  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. -->

# ReFormer-summarization

This model is a fine-tuned version of [](https://huggingface.co./) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5207

## 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: 0.001
- 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: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 5.336         | 1.0   | 23050 | 4.8078          |
| 4.6673        | 2.0   | 46100 | 4.5712          |
| 4.519         | 3.0   | 69150 | 4.5207          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0