transformers tensorboard 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-summarization
  results: []
---

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# T5-small-summarization

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the truncated version of Samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9294
- Rouge1: 0.3772
- Rouge2: 0.1453
- Rougel: 0.3105
- Rougelsum: 0.3106
- Gen Len: 16.1832

## Model description

This model performs the summarization of Texts. 

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 63   | 2.1165          | 0.338  | 0.1186 | 0.2811 | 0.2813    | 16.7595 |
| No log        | 2.0   | 126  | 2.0210          | 0.3612 | 0.1338 | 0.2982 | 0.2985    | 16.5592 |
| No log        | 3.0   | 189  | 1.9838          | 0.3652 | 0.1384 | 0.3034 | 0.304     | 16.1197 |
| No log        | 4.0   | 252  | 1.9623          | 0.3715 | 0.142  | 0.3077 | 0.3079    | 16.2308 |
| No log        | 5.0   | 315  | 1.9513          | 0.3727 | 0.1441 | 0.308  | 0.3084    | 16.1453 |
| No log        | 6.0   | 378  | 1.9419          | 0.375  | 0.1438 | 0.309  | 0.3093    | 16.2234 |
| No log        | 7.0   | 441  | 1.9376          | 0.3748 | 0.144  | 0.3102 | 0.3104    | 16.1465 |
| 2.2452        | 8.0   | 504  | 1.9324          | 0.3754 | 0.1451 | 0.3098 | 0.3099    | 16.1893 |
| 2.2452        | 9.0   | 567  | 1.9302          | 0.3769 | 0.1459 | 0.3112 | 0.3113    | 16.1966 |
| 2.2452        | 10.0  | 630  | 1.9294          | 0.3772 | 0.1453 | 0.3105 | 0.3106    | 16.1832 |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1
