---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-small_15_spider
  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. -->

# EN_mt5-small_15_spider

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3864
- Rouge2 Precision: 0.4111
- Rouge2 Recall: 0.2576
- Rouge2 Fmeasure: 0.2936

## 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  | 3.8361          | 0.0002           | 0.0006        | 0.0002          |
| 16.5932       | 2.0   | 876  | 1.5381          | 0.0031           | 0.0011        | 0.0016          |
| 2.0998        | 3.0   | 1314 | 0.7401          | 0.0941           | 0.0521        | 0.0571          |
| 1.1309        | 4.0   | 1752 | 0.4827          | 0.2672           | 0.1628        | 0.1794          |
| 0.5166        | 5.0   | 2190 | 0.4313          | 0.3065           | 0.192         | 0.212           |
| 0.3883        | 6.0   | 2628 | 0.4112          | 0.3388           | 0.2187        | 0.2415          |
| 0.3299        | 7.0   | 3066 | 0.3975          | 0.376            | 0.2326        | 0.262           |
| 0.293         | 8.0   | 3504 | 0.3896          | 0.3758           | 0.245         | 0.271           |
| 0.293         | 9.0   | 3942 | 0.3914          | 0.3954           | 0.2501        | 0.2837          |
| 0.2687        | 10.0  | 4380 | 0.3863          | 0.3947           | 0.2529        | 0.285           |
| 0.2537        | 11.0  | 4818 | 0.3877          | 0.3959           | 0.2539        | 0.2861          |
| 0.2431        | 12.0  | 5256 | 0.3860          | 0.4098           | 0.2544        | 0.2908          |
| 0.2331        | 13.0  | 5694 | 0.3872          | 0.4031           | 0.2559        | 0.2906          |
| 0.23          | 14.0  | 6132 | 0.3862          | 0.4082           | 0.2575        | 0.2928          |
| 0.225         | 15.0  | 6570 | 0.3864          | 0.4111           | 0.2576        | 0.2936          |


### Framework versions

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