---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-tag-generation-recipes
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-base-tag-generation-recipes

This model is a fine-tuned version of [fabiochiu/t5-base-tag-generation](https://huggingface.co/fabiochiu/t5-base-tag-generation) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6106
- Rouge1: 76.7317
- Rouge2: 59.2273
- Rougel: 74.3318
- Rougelsum: 74.2181
- Gen Len: 15.93

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2596        | 1.0   | 950  | 0.7129          | 75.4613 | 57.2255 | 70.7783 | 70.8028   | 15.56   |
| 0.7531        | 2.0   | 1900 | 0.6407          | 75.7627 | 58.0085 | 72.5222 | 72.4208   | 15.71   |
| 0.673         | 3.0   | 2850 | 0.6158          | 76.7922 | 59.4197 | 73.5378 | 73.4624   | 15.71   |
| 0.6064        | 4.0   | 3800 | 0.6106          | 76.7317 | 59.2273 | 74.3318 | 74.2181   | 15.93   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2