---
tags:
- generated_from_trainer
model-index:
- name: EN_mrm8488_spider
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# EN_mrm8488_spider

This model is a fine-tuned version of [mrm8488/t5-small-finetuned-wikiSQL](https://huggingface.co/mrm8488/t5-small-finetuned-wikiSQL) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1002
- Rouge2 Precision: 0.0364
- Rouge2 Recall: 0.0288
- Rouge2 Fmeasure: 0.0266

## 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  | 0.4103          | 0.3532           | 0.1547        | 0.194           |
| 0.9639        | 2.0   | 876  | 0.2544          | 0.189            | 0.086         | 0.1038          |
| 0.3388        | 3.0   | 1314 | 0.1954          | 0.1365           | 0.0641        | 0.0768          |
| 0.2255        | 4.0   | 1752 | 0.1614          | 0.0644           | 0.0377        | 0.0407          |
| 0.1673        | 5.0   | 2190 | 0.1412          | 0.0675           | 0.0443        | 0.0467          |
| 0.1356        | 6.0   | 2628 | 0.1344          | 0.0528           | 0.0361        | 0.0366          |
| 0.1148        | 7.0   | 3066 | 0.1255          | 0.0476           | 0.0333        | 0.0338          |
| 0.0998        | 8.0   | 3504 | 0.1167          | 0.0513           | 0.0389        | 0.0374          |
| 0.0998        | 9.0   | 3942 | 0.1107          | 0.0619           | 0.0447        | 0.0439          |
| 0.088         | 10.0  | 4380 | 0.1092          | 0.0529           | 0.0412        | 0.0384          |
| 0.0816        | 11.0  | 4818 | 0.1047          | 0.0478           | 0.0358        | 0.0334          |
| 0.0742        | 12.0  | 5256 | 0.1015          | 0.0386           | 0.0306        | 0.028           |
| 0.071         | 13.0  | 5694 | 0.1018          | 0.0384           | 0.0301        | 0.0281          |
| 0.0674        | 14.0  | 6132 | 0.1004          | 0.0344           | 0.0279        | 0.0256          |
| 0.0674        | 15.0  | 6570 | 0.1002          | 0.0364           | 0.0288        | 0.0266          |


### Framework versions

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