---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task1-dataset3
  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. -->

# mt5-small-task1-dataset3

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8026
- Accuracy: 0.52

## 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: 5.6e-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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 9.7282        | 1.0   | 250  | 2.3106          | 0.118    |
| 2.3916        | 2.0   | 500  | 1.7098          | 0.128    |
| 1.8578        | 3.0   | 750  | 1.5425          | 0.198    |
| 1.6283        | 4.0   | 1000 | 1.4055          | 0.216    |
| 1.4748        | 5.0   | 1250 | 1.3024          | 0.282    |
| 1.2899        | 6.0   | 1500 | 1.1393          | 0.388    |
| 1.1631        | 7.0   | 1750 | 1.0190          | 0.434    |
| 1.0565        | 8.0   | 2000 | 0.9458          | 0.456    |
| 0.9747        | 9.0   | 2250 | 0.9052          | 0.488    |
| 0.9119        | 10.0  | 2500 | 0.8731          | 0.514    |
| 0.8752        | 11.0  | 2750 | 0.8279          | 0.516    |
| 0.8356        | 12.0  | 3000 | 0.8263          | 0.524    |
| 0.8132        | 13.0  | 3250 | 0.8125          | 0.52     |
| 0.8113        | 14.0  | 3500 | 0.8037          | 0.52     |
| 0.8075        | 15.0  | 3750 | 0.8026          | 0.52     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0