transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: t5-small
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: news_summarization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# news_summarization

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: 0.0010
- Rouge1: 0.9698
- Rouge2: 0.9659
- Rougel: 0.9698
- Rougelsum: 0.9699
- Gen Len: 16.9568

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 220  | 0.0024          | 0.9688 | 0.9647 | 0.9688 | 0.9688    | 16.9511 |
| No log        | 2.0   | 440  | 0.0014          | 0.9694 | 0.9653 | 0.9694 | 0.9695    | 16.9591 |
| 0.114         | 3.0   | 660  | 0.0010          | 0.9698 | 0.9659 | 0.9698 | 0.9699    | 16.9568 |
| 0.114         | 4.0   | 880  | 0.0010          | 0.9698 | 0.9659 | 0.9698 | 0.9699    | 16.9568 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
