---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: multinews_model
  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. -->

# multinews_model

This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co./google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2447
- Rouge1: 0.1541
- Rouge2: 0.0514
- Rougel: 0.1178
- Rougelsum: 0.1178
- Gen Len: 18.9996

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.508         | 1.0   | 1406 | 2.2746          | 0.1525 | 0.0501 | 0.1164 | 0.1164    | 18.9972 |
| 2.4136        | 2.0   | 2812 | 2.2489          | 0.1535 | 0.0512 | 0.1173 | 0.1173    | 18.9996 |
| 2.3479        | 3.0   | 4218 | 2.2447          | 0.1541 | 0.0514 | 0.1178 | 0.1178    | 18.9996 |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2