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

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# t5-small-finetuned-newssum

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: 3.0180
- Rouge1: 28.4281
- Rouge2: 11.7926
- Rougel: 26.0068
- Rougelsum: 25.971
- Gen Len: 15.3115

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 16   | 2.7920          | 28.3868 | 12.9442 | 25.9886 | 26.0546   | 14.5492 |
| No log        | 2.0   | 32   | 2.7583          | 27.0411 | 10.9079 | 24.7416 | 24.6482   | 15.2213 |
| No log        | 3.0   | 48   | 2.7845          | 27.7028 | 11.5886 | 25.5631 | 25.6304   | 15.2787 |
| No log        | 4.0   | 64   | 2.8982          | 27.9576 | 12.5207 | 25.7261 | 25.6778   | 15.623  |
| No log        | 5.0   | 80   | 2.9824          | 27.9748 | 11.3803 | 25.4079 | 25.3393   | 15.3689 |
| No log        | 6.0   | 96   | 3.0180          | 28.4281 | 11.7926 | 26.0068 | 25.971    | 15.3115 |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.2+cu118
- Datasets 2.11.0
- Tokenizers 0.14.1
