---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-newssum
  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-base-finetuned-newssum

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4711
- Rouge1: 40.715
- Rouge2: 32.036
- Rougel: 40.3437
- Rougelsum: 40.4235
- Gen Len: 8.4108

## 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: 0.002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 403  | 0.4862          | 38.2219 | 28.7394 | 37.9058 | 37.8425   | 8.2259  |
| 0.8381        | 2.0   | 806  | 0.4148          | 40.5379 | 30.8609 | 40.1883 | 40.1758   | 8.3742  |
| 0.3367        | 3.0   | 1209 | 0.4000          | 41.5718 | 32.8396 | 41.2338 | 41.2688   | 8.646   |
| 0.2095        | 4.0   | 1612 | 0.4131          | 40.6043 | 32.2201 | 40.2509 | 40.2628   | 8.3354  |
| 0.1339        | 5.0   | 2015 | 0.4433          | 41.0629 | 32.4348 | 40.7525 | 40.7657   | 8.5436  |
| 0.1339        | 6.0   | 2418 | 0.4711          | 40.715  | 32.036  | 40.3437 | 40.4235   | 8.4108  |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1