---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: iva_mt_wslot-m2m100_418M-0.1.0
  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. -->

# iva_mt_wslot-m2m100_418M-0.1.0 en-pl

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the [iva_mt_wslot](https://huggingface.co/datasets/cartesinus/iva_mt_wslot) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0176
- Bleu: 61.6249
- Gen Len: 21.157

On training set:
- translated train witout slots in input: 93.8200 Bleu
- translated train with slots in input: 70.5597 Bleu

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

## Dataset Composition (en-pl)
| Corpus                                                               | Train  | Dev   | Test  |
|----------------------------------------------------------------------|--------|-------|-------|
| [Massive 1.1](https://huggingface.co/datasets/AmazonScience/massive) | 11514  | 2033  | 2974  |
| [Leyzer 0.2.0](https://github.com/cartesinus/leyzer/tree/0.2.0)      | 3974   | 701   | 1380  |
| [OpenSubtitles from OPUS](https://opus.nlpl.eu/OpenSubtitles-v1.php) | 2329   | 411   | 500   |
| [KDE from OPUS](https://opus.nlpl.eu/KDE4.php)                       | 1154   | 241   | 241   |
| [CCMatrix from Opus](https://opus.nlpl.eu/CCMatrix.php)              | 1096   | 232   | 237   |
| [Ubuntu from OPUS](https://opus.nlpl.eu/Ubuntu.php)                  | 281    | 60    | 59    |
| [Gnome from OPUS](https://opus.nlpl.eu/GNOME.php)                    | 14     | 3     | 3     |
| *total*                                                              | 20362  | 3681  | 5394  |

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.0178        | 1.0   | 5091  | 0.0171          | 57.4439 | 21.1396 |
| 0.013         | 2.0   | 10182 | 0.0159          | 58.886  | 21.2285 |
| 0.0091        | 3.0   | 15273 | 0.0157          | 60.159  | 21.1222 |
| 0.0073        | 4.0   | 20364 | 0.0159          | 60.5893 | 21.1212 |
| 0.0054        | 5.0   | 25455 | 0.0161          | 60.6484 | 21.0679 |
| 0.004         | 6.0   | 30546 | 0.0166          | 61.5283 | 21.0875 |
| 0.0031        | 7.0   | 35637 | 0.0169          | 61.0439 | 21.1562 |
| 0.0024        | 8.0   | 40728 | 0.0172          | 61.9427 | 21.2203 |
| 0.0018        | 9.0   | 45819 | 0.0175          | 61.7325 | 21.1478 |
| 0.0014        | 10.0  | 50910 | 0.0176          | 61.6249 | 21.157  |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2