---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: pos_tagger_mT5
  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. -->

# pos_tagger_mT5

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: 0.2412
- Bleu: 43.0091
- Gen Len: 15.8396

## 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: 2e-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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 1.4428        | 1.0   | 1951  | 1.0474          | 5.7868  | 9.7778  |
| 1.1516        | 2.0   | 3902  | 0.9576          | 10.5757 | 12.2847 |
| 1.0597        | 3.0   | 5853  | 0.8899          | 13.9347 | 14.9239 |
| 0.9884        | 4.0   | 7804  | 0.8302          | 16.1689 | 15.3619 |
| 0.9326        | 5.0   | 9755  | 0.7601          | 18.7725 | 14.7579 |
| 0.8743        | 6.0   | 11706 | 0.6490          | 23.2392 | 15.3214 |
| 0.7841        | 7.0   | 13657 | 0.5002          | 30.4345 | 15.5328 |
| 0.6894        | 8.0   | 15608 | 0.4017          | 35.8055 | 15.7107 |
| 0.6169        | 9.0   | 17559 | 0.3348          | 39.2237 | 15.7143 |
| 0.5643        | 10.0  | 19510 | 0.2959          | 40.8199 | 15.7694 |
| 0.5362        | 11.0  | 21461 | 0.2716          | 41.8776 | 15.8021 |
| 0.515         | 12.0  | 23412 | 0.2573          | 42.4591 | 15.8157 |
| 0.4902        | 13.0  | 25363 | 0.2470          | 42.7953 | 15.8316 |
| 0.47          | 14.0  | 27314 | 0.2420          | 42.9749 | 15.8346 |
| 0.4635        | 15.0  | 29265 | 0.2412          | 43.0091 | 15.8396 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0