---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-ft-rf-02
  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-base-ft-rf-02

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: 0.4229

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 43.082        | 0.24  | 50   | 37.1069         |
| 34.6827       | 0.49  | 100  | 28.8296         |
| 21.0188       | 0.73  | 150  | 19.9344         |
| 18.3905       | 0.98  | 200  | 12.0120         |
| 14.342        | 1.22  | 250  | 9.2877          |
| 6.2116        | 1.46  | 300  | 6.1602          |
| 6.5474        | 1.71  | 350  | 4.6816          |
| 1.9222        | 1.95  | 400  | 2.6431          |
| 2.0579        | 2.2   | 450  | 1.2741          |
| 1.1028        | 2.44  | 500  | 0.9638          |
| 1.3341        | 2.68  | 550  | 0.8896          |
| 0.6531        | 2.93  | 600  | 0.8461          |
| 0.9805        | 3.17  | 650  | 0.7652          |
| 0.7167        | 3.41  | 700  | 0.7544          |
| 1.0224        | 3.66  | 750  | 0.7493          |
| 0.5367        | 3.9   | 800  | 0.7188          |
| 0.9352        | 4.15  | 850  | 0.6844          |
| 0.4927        | 4.39  | 900  | 0.6595          |
| 0.7141        | 4.63  | 950  | 0.6458          |
| 0.5773        | 4.88  | 1000 | 0.5911          |
| 0.4791        | 5.12  | 1050 | 0.5691          |
| 0.498         | 5.37  | 1100 | 0.5572          |
| 0.4306        | 5.61  | 1150 | 0.5315          |
| 0.334         | 5.85  | 1200 | 0.5123          |
| 0.3783        | 6.1   | 1250 | 0.4970          |
| 0.7719        | 6.34  | 1300 | 0.4774          |
| 0.3732        | 6.59  | 1350 | 0.4591          |
| 0.6203        | 6.83  | 1400 | 0.4482          |
| 0.4669        | 7.07  | 1450 | 0.4434          |
| 0.5568        | 7.32  | 1500 | 0.4307          |
| 0.6352        | 7.56  | 1550 | 0.4257          |
| 1.4137        | 7.8   | 1600 | 0.4229          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3