---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mt5-small-task3-dataset4
  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-task3-dataset4

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: 1.6010
- Accuracy: 0.036
- Mse: 6.3081
- Log-distance: 0.6632
- S Score: 0.4988

## 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: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Mse    | Log-distance | S Score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------------:|:-------:|
| 10.7728       | 1.0   | 250  | 2.2587          | 0.022    | 7.0471 | 0.7963       | 0.4292  |
| 3.1044        | 2.0   | 500  | 1.8035          | 0.014    | 5.9086 | 0.7763       | 0.4340  |
| 2.3369        | 3.0   | 750  | 1.6404          | 0.058    | 7.0001 | 0.6805       | 0.4972  |
| 2.0228        | 4.0   | 1000 | 1.6106          | 0.056    | 6.9718 | 0.6808       | 0.4948  |
| 1.8688        | 5.0   | 1250 | 1.5910          | 0.044    | 5.8977 | 0.7091       | 0.4624  |
| 1.8065        | 6.0   | 1500 | 1.6321          | 0.036    | 6.2658 | 0.6631       | 0.4992  |
| 1.7671        | 7.0   | 1750 | 1.5987          | 0.058    | 6.9883 | 0.6792       | 0.4976  |
| 1.7373        | 8.0   | 2000 | 1.6174          | 0.06     | 6.9132 | 0.6780       | 0.4960  |
| 1.7366        | 9.0   | 2250 | 1.6105          | 0.042    | 6.6193 | 0.6712       | 0.4976  |
| 1.7201        | 10.0  | 2500 | 1.6123          | 0.038    | 6.5863 | 0.6745       | 0.4960  |
| 1.7171        | 11.0  | 2750 | 1.6034          | 0.032    | 6.1936 | 0.6719       | 0.4908  |
| 1.7001        | 12.0  | 3000 | 1.6010          | 0.036    | 6.3081 | 0.6632       | 0.4988  |


### Framework versions

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