---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: es_nl+no_processing
  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. -->

# es_nl+no_processing

This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6212
- Smatch Precision: 72.94
- Smatch Recall: 75.83
- Smatch Fscore: 74.36
- Smatch Unparsable: 0
- Percent Not Recoverable: 0.4065

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Smatch Precision | Smatch Recall | Smatch Fscore | Smatch Unparsable | Percent Not Recoverable |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:-------------:|:-----------------:|:-----------------------:|
| 0.4098        | 1.0   | 3477  | 1.3168          | 17.61            | 63.89         | 27.62         | 0                 | 0.0                     |
| 0.3307        | 2.0   | 6954  | 1.0109          | 21.08            | 68.69         | 32.26         | 0                 | 0.0581                  |
| 0.1253        | 3.0   | 10431 | 0.9193          | 32.88            | 71.46         | 45.04         | 0                 | 0.0                     |
| 0.1665        | 4.0   | 13908 | 0.7549          | 35.07            | 72.54         | 47.29         | 0                 | 0.0                     |
| 0.0435        | 5.0   | 17385 | 0.8298          | 40.25            | 74.91         | 52.37         | 0                 | 0.0581                  |
| 0.2156        | 6.0   | 20862 | 0.6525          | 45.7             | 75.11         | 56.82         | 0                 | 0.0                     |
| 0.133         | 7.0   | 24339 | 0.6548          | 47.7             | 75.36         | 58.42         | 0                 | 0.0                     |
| 0.0624        | 8.0   | 27817 | 0.6054          | 53.59            | 75.18         | 62.57         | 0                 | 0.0                     |
| 0.0841        | 9.0   | 31294 | 0.6496          | 54.68            | 75.01         | 63.25         | 0                 | 0.0581                  |
| 0.1073        | 10.0  | 34771 | 0.5960          | 55.76            | 76.35         | 64.45         | 0                 | 0.0                     |
| 0.048         | 11.0  | 38248 | 0.5924          | 60.99            | 76.4          | 67.83         | 0                 | 0.0                     |
| 0.0341        | 12.0  | 41725 | 0.5880          | 60.39            | 76.31         | 67.42         | 0                 | 0.0581                  |
| 0.0079        | 13.0  | 45202 | 0.6117          | 61.61            | 76.52         | 68.26         | 0                 | 0.0                     |
| 0.0244        | 14.0  | 48679 | 0.6191          | 63.78            | 76.44         | 69.54         | 0                 | 0.0581                  |
| 0.0575        | 15.0  | 52156 | 0.6320          | 66.27            | 76.71         | 71.11         | 0                 | 0.1161                  |
| 0.0204        | 16.0  | 55634 | 0.6126          | 67.51            | 76.48         | 71.72         | 0                 | 0.0                     |
| 0.0278        | 17.0  | 59111 | 0.6114          | 67.6             | 76.8          | 71.91         | 0                 | 0.0581                  |
| 0.0219        | 18.0  | 62588 | 0.6184          | 68.84            | 77.14         | 72.75         | 0                 | 0.0581                  |
| 0.01          | 19.0  | 66065 | 0.6197          | 69.62            | 76.77         | 73.02         | 0                 | 0.0                     |
| 0.0423        | 20.0  | 69542 | 0.6204          | 71.01            | 76.89         | 73.83         | 0                 | 0.0581                  |
| 0.0095        | 21.0  | 73019 | 0.6309          | 70.76            | 76.53         | 73.53         | 0                 | 0.0581                  |
| 0.0132        | 22.0  | 76496 | 0.6208          | 71.97            | 76.41         | 74.12         | 0                 | 0.2904                  |
| 0.0148        | 23.0  | 79973 | 0.6307          | 71.86            | 76.61         | 74.16         | 0                 | 0.0581                  |
| 0.0034        | 24.0  | 83451 | 0.6258          | 72.41            | 76.24         | 74.28         | 0                 | 0.3484                  |
| 0.0527        | 25.0  | 86925 | 0.6212          | 72.94            | 75.83         | 74.36         | 0                 | 0.4065                  |


### Framework versions

- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3