---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-xlsum-with-multi-news-10-epoch
  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. -->

# t5-small-finetuned-xlsum-with-multi-news-10-epoch

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2332
- Rouge1: 31.4802
- Rouge2: 9.9475
- Rougel: 24.6687
- Rougelsum: 24.7013
- Gen Len: 18.8025

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.7314        | 1.0   | 20543  | 2.3867          | 29.3997 | 8.2875 | 22.8406 | 22.8871   | 18.8204 |
| 2.6652        | 2.0   | 41086  | 2.3323          | 30.3992 | 8.9058 | 23.6168 | 23.6626   | 18.8447 |
| 2.632         | 3.0   | 61629  | 2.3002          | 30.8662 | 9.2869 | 24.0683 | 24.11     | 18.8122 |
| 2.6221        | 4.0   | 82172  | 2.2785          | 31.143  | 9.5737 | 24.3473 | 24.381    | 18.7911 |
| 2.5925        | 5.0   | 102715 | 2.2631          | 31.2144 | 9.6904 | 24.4419 | 24.4796   | 18.8133 |
| 2.5812        | 6.0   | 123258 | 2.2507          | 31.3371 | 9.7959 | 24.5801 | 24.6166   | 18.7836 |
| 2.5853        | 7.0   | 143801 | 2.2437          | 31.3593 | 9.8156 | 24.5533 | 24.5852   | 18.8103 |
| 2.5467        | 8.0   | 164344 | 2.2377          | 31.368  | 9.8807 | 24.6226 | 24.6518   | 18.799  |
| 2.5571        | 9.0   | 184887 | 2.2337          | 31.4356 | 9.9092 | 24.6543 | 24.6891   | 18.8075 |
| 2.5563        | 10.0  | 205430 | 2.2332          | 31.4802 | 9.9475 | 24.6687 | 24.7013   | 18.8025 |


### Framework versions

- Transformers 4.13.0
- Pytorch 1.13.1+cpu
- Datasets 2.8.0
- Tokenizers 0.10.3