---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: news_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. -->

# news_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6746
- Rouge1: 0.1497
- Rouge2: 0.0486
- Rougel: 0.1145
- Rougelsum: 0.1145
- Gen Len: 18.9964

## 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 2.9581        | 1.0   | 2249 | 2.7274          | 0.1472 | 0.0469 | 0.1125 | 0.1125    | 18.996  |
| 2.9039        | 2.0   | 4498 | 2.6915          | 0.149  | 0.048  | 0.114  | 0.114     | 18.996  |
| 2.882         | 3.0   | 6747 | 2.6782          | 0.1494 | 0.0483 | 0.1144 | 0.1144    | 18.996  |
| 2.8737        | 4.0   | 8996 | 2.6746          | 0.1497 | 0.0486 | 0.1145 | 0.1145    | 18.9964 |


### Framework versions

- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1