---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: T5-summarizer-simple-wiki-v2
  results: []
---

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# T5-summarizer-simple-wiki-v2

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: 2.0866

## 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: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.2575        | 1.0   | 14719 | 2.1173          |
| 2.2663        | 2.0   | 29438 | 2.0926          |
| 2.2092        | 3.0   | 44157 | 2.0866          |


### Framework versions

- Transformers 4.19.4
- Pytorch 1.11.0
- Datasets 2.3.2
- Tokenizers 0.12.1