---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: ALL_mt5-base_15_spider_new2
  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. -->

# ALL_mt5-base_15_spider_new2

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3806
- Rouge2 Precision: 0.6339
- Rouge2 Recall: 0.4352
- Rouge2 Fmeasure: 0.487

## 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: 4
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
| 0.1807        | 1.0   | 4847  | 0.2361          | 0.546            | 0.3648        | 0.4103          |
| 0.1003        | 2.0   | 9694  | 0.2335          | 0.5674           | 0.3804        | 0.4267          |
| 0.0695        | 3.0   | 14541 | 0.2456          | 0.5959           | 0.4034        | 0.4521          |
| 0.0565        | 4.0   | 19388 | 0.2553          | 0.6119           | 0.4163        | 0.466           |
| 0.0421        | 5.0   | 24235 | 0.2739          | 0.62             | 0.4241        | 0.4745          |
| 0.0354        | 6.0   | 29082 | 0.2824          | 0.6257           | 0.4252        | 0.4769          |
| 0.0317        | 7.0   | 33929 | 0.2992          | 0.6321           | 0.4299        | 0.4822          |
| 0.0257        | 8.0   | 38776 | 0.3090          | 0.6191           | 0.4201        | 0.4715          |
| 0.0229        | 9.0   | 43623 | 0.3216          | 0.6336           | 0.4322        | 0.4848          |
| 0.0205        | 10.0  | 48470 | 0.3331          | 0.6339           | 0.4347        | 0.4865          |
| 0.0171        | 11.0  | 53317 | 0.3484          | 0.6281           | 0.4305        | 0.482           |
| 0.0141        | 12.0  | 58164 | 0.3614          | 0.6364           | 0.4359        | 0.4882          |
| 0.0135        | 13.0  | 63011 | 0.3634          | 0.6324           | 0.4345        | 0.486           |
| 0.0131        | 14.0  | 67858 | 0.3744          | 0.6334           | 0.4349        | 0.4867          |
| 0.0116        | 15.0  | 72705 | 0.3806          | 0.6339           | 0.4352        | 0.487           |


### Framework versions

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