---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-keyword-to-text-generation
  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-finetuned-keyword-to-text-generation

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4643
- Rouge1: 2.1108
- Rouge2: 0.3331
- Rougel: 1.7368
- Rougelsum: 1.7391
- Gen Len: 16.591

## 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: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 375  | 3.4862          | 2.0718 | 0.326  | 1.7275 | 1.7308    | 16.7995 |
| 3.5928        | 2.0   | 750  | 3.4761          | 2.0829 | 0.3253 | 1.7192 | 1.7224    | 16.773  |
| 3.5551        | 3.0   | 1125 | 3.4701          | 2.1028 | 0.3272 | 1.7274 | 1.7296    | 16.6505 |
| 3.5225        | 4.0   | 1500 | 3.4671          | 2.11   | 0.3305 | 1.7343 | 1.7362    | 16.699  |
| 3.5225        | 5.0   | 1875 | 3.4653          | 2.1134 | 0.3319 | 1.7418 | 1.7437    | 16.5485 |
| 3.4987        | 6.0   | 2250 | 3.4643          | 2.1108 | 0.3331 | 1.7368 | 1.7391    | 16.591  |
| 3.4939        | 7.0   | 2625 | 3.4643          | 2.1108 | 0.3331 | 1.7368 | 1.7391    | 16.591  |
| 3.498         | 8.0   | 3000 | 3.4643          | 2.1108 | 0.3331 | 1.7368 | 1.7391    | 16.591  |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1