---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-base_5_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-base_5_spider

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: 1.0147
- Rouge2 Precision: 0.0101
- Rouge2 Recall: 0.0008
- Rouge2 Fmeasure: 0.0014

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
| No log        | 1.0   | 438  | 4.4261          | 0.0037           | 0.0008        | 0.0013          |
| 13.8978       | 2.0   | 876  | 1.9847          | 0.0032           | 0.0012        | 0.0016          |
| 3.4854        | 3.0   | 1314 | 1.6748          | 0.0002           | 0.0           | 0.0             |
| 2.1063        | 4.0   | 1752 | 1.2913          | 0.0074           | 0.0029        | 0.0036          |
| 1.6372        | 5.0   | 2190 | 1.0147          | 0.0101           | 0.0008        | 0.0014          |


### Framework versions

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