pytorch tensorboard mbart text2text-generation transformers summarization generated_from_trainer model-index autotrain_compatible
---
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: it5-base-news-summarization-finetuned-it-sum
  results: []
---

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# it5-base-news-summarization-finetuned-it-sum

This model is a fine-tuned version of [sshleifer/tiny-mbart](https://huggingface.co/sshleifer/tiny-mbart) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 11.4506
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0

## 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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 12.4005       | 1.0   | 1000 | 12.3517         | 0.0    | 0.0    | 0.0    | 0.0       |
| 12.2597       | 2.0   | 2000 | 12.1695         | 0.0    | 0.0    | 0.0    | 0.0       |
| 12.0478       | 3.0   | 3000 | 11.9578         | 0.0    | 0.0    | 0.0    | 0.0       |
| 11.8364       | 4.0   | 4000 | 11.7834         | 0.0    | 0.0    | 0.0    | 0.0       |
| 11.6736       | 5.0   | 5000 | 11.6447         | 0.0    | 0.0    | 0.0    | 0.0       |
| 11.5498       | 6.0   | 6000 | 11.5447         | 0.0    | 0.0    | 0.0    | 0.0       |
| 11.4664       | 7.0   | 7000 | 11.4797         | 0.0    | 0.0    | 0.0    | 0.0       |
| 11.4209       | 8.0   | 8000 | 11.4506         | 0.0    | 0.0    | 0.0    | 0.0       |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
