transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_t5-small_15_spider
  results: []
---

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# EN_t5-small_15_spider

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4888
- Rouge2 Precision: 0.5237
- Rouge2 Recall: 0.3349
- Rouge2 Fmeasure: 0.3832

## 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: 5e-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: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 438  | 0.4960          | 0.3036           | 0.2109        | 0.2216          |
| 1.0347        | 2.0   | 876  | 0.4496          | 0.3801           | 0.2453        | 0.2721          |
| 0.3664        | 3.0   | 1314 | 0.4839          | 0.4223           | 0.2627        | 0.2999          |
| 0.2966        | 4.0   | 1752 | 0.4671          | 0.457            | 0.2786        | 0.3218          |
| 0.2486        | 5.0   | 2190 | 0.4586          | 0.4628           | 0.2872        | 0.3302          |
| 0.2254        | 6.0   | 2628 | 0.4475          | 0.4873           | 0.3071        | 0.3521          |
| 0.2061        | 7.0   | 3066 | 0.4932          | 0.5017           | 0.3147        | 0.3622          |
| 0.1915        | 8.0   | 3504 | 0.4904          | 0.52             | 0.3331        | 0.3812          |
| 0.1915        | 9.0   | 3942 | 0.4924          | 0.5069           | 0.3189        | 0.3668          |
| 0.179         | 10.0  | 4380 | 0.4941          | 0.5094           | 0.3253        | 0.3721          |
| 0.1714        | 11.0  | 4818 | 0.4865          | 0.5064           | 0.3201        | 0.3672          |
| 0.1655        | 12.0  | 5256 | 0.4825          | 0.5147           | 0.3289        | 0.3762          |
| 0.1604        | 13.0  | 5694 | 0.4730          | 0.5155           | 0.3306        | 0.3776          |
| 0.1584        | 14.0  | 6132 | 0.4873          | 0.5239           | 0.336         | 0.384           |
| 0.1563        | 15.0  | 6570 | 0.4888          | 0.5237           | 0.3349        | 0.3832          |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.7.dev0
- Tokenizers 0.13.3
