---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: mt5-small-task2-dataset1
  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-task2-dataset1

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: 0.2115
- F1: 0.74

## 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4196        | 1.0   | 250  | 0.4480          | 0.644  |
| 0.4665        | 2.0   | 500  | 0.3543          | 0.652  |
| 0.4327        | 3.0   | 750  | 0.3109          | 0.67   |
| 0.3638        | 4.0   | 1000 | 0.2842          | 0.692  |
| 0.3297        | 5.0   | 1250 | 0.2666          | 0.708  |
| 0.2953        | 6.0   | 1500 | 0.2344          | 0.728  |
| 0.2722        | 7.0   | 1750 | 0.2328          | 0.722  |
| 0.2578        | 8.0   | 2000 | 0.2224          | 0.7300 |
| 0.2435        | 9.0   | 2250 | 0.2171          | 0.732  |
| 0.2323        | 10.0  | 2500 | 0.2123          | 0.736  |
| 0.2279        | 11.0  | 2750 | 0.2121          | 0.74   |
| 0.2224        | 12.0  | 3000 | 0.2115          | 0.74   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0