---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: EN_mt5-small_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-small_5_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: 0.5338
- Rouge2 Precision: 0.2042
- Rouge2 Recall: 0.1342
- Rouge2 Fmeasure: 0.1432

## 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  | 3.8119          | 0.0019           | 0.0007        | 0.001           |
| 15.5014       | 2.0   | 876  | 1.4861          | 0.0065           | 0.0026        | 0.0036          |
| 2.1957        | 3.0   | 1314 | 0.7087          | 0.049            | 0.0434        | 0.041           |
| 1.1325        | 4.0   | 1752 | 0.5575          | 0.1566           | 0.1158        | 0.117           |
| 0.7173        | 5.0   | 2190 | 0.5338          | 0.2042           | 0.1342        | 0.1432          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.0