transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: news-summarization-argilla
  results: []
---

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# news-summarization-argilla

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: 3.6405
- Rouge1: 0.2882
- Rouge2: 0.0847
- Rougel: 0.2411
- Rougelsum: 0.2412
- Gen Len: 19.0

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 12   | 4.0721          | 0.2503 | 0.0688 | 0.2149 | 0.2162    | 19.0    |
| No log        | 2.0   | 24   | 3.8238          | 0.269  | 0.0756 | 0.2266 | 0.2281    | 19.0    |
| No log        | 3.0   | 36   | 3.6874          | 0.283  | 0.0846 | 0.2387 | 0.2388    | 19.0    |
| No log        | 4.0   | 48   | 3.6405          | 0.2882 | 0.0847 | 0.2411 | 0.2412    | 19.0    |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
