---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: en_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. -->

# en_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: 0.5902
- Smatch Precision: 74.83
- Smatch Recall: 77.62
- Smatch Fscore: 76.2
- Smatch Unparsable: 0
- Percent Not Recoverable: 0.2904

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:-------------:|:-----------------:|:-----------------------:|
| 0.3941        | 1.0   | 3477  | 1.8519          | 18.33            | 65.69         | 28.66         | 0                 | 0.0                     |
| 0.3983        | 2.0   | 6954  | 0.9133          | 29.25            | 72.49         | 41.68         | 0                 | 0.1742                  |
| 0.2932        | 3.0   | 10431 | 0.7729          | 34.75            | 74.02         | 47.29         | 0                 | 0.0                     |
| 0.2121        | 4.0   | 13908 | 0.7737          | 34.16            | 74.66         | 46.87         | 2                 | 0.0                     |
| 0.0401        | 5.0   | 17385 | 0.7656          | 36.6             | 75.39         | 49.27         | 0                 | 0.0                     |
| 0.1274        | 6.0   | 20862 | 0.7373          | 44.18            | 75.99         | 55.88         | 0                 | 0.0                     |
| 0.0668        | 7.0   | 24339 | 0.6024          | 50.13            | 77.11         | 60.76         | 0                 | 0.0                     |
| 0.0681        | 8.0   | 27816 | 0.6398          | 50.92            | 77.53         | 61.47         | 0                 | 0.0                     |
| 0.0381        | 9.0   | 31293 | 0.5849          | 57.36            | 77.99         | 66.1          | 0                 | 0.1161                  |
| 0.0586        | 10.0  | 34770 | 0.5628          | 59.08            | 77.76         | 67.15         | 0                 | 0.0                     |
| 0.0074        | 11.0  | 38247 | 0.5632          | 60.25            | 79.02         | 68.37         | 0                 | 0.1742                  |
| 0.0055        | 12.0  | 41724 | 0.5795          | 59.25            | 78.6          | 67.57         | 0                 | 0.2904                  |
| 0.0014        | 13.0  | 45201 | 0.5725          | 64.79            | 78.78         | 71.11         | 0                 | 0.1161                  |
| 0.0063        | 14.0  | 48678 | 0.5494          | 67.65            | 78.58         | 72.71         | 0                 | 0.0                     |
| 0.012         | 15.0  | 52155 | 0.5821          | 66.07            | 78.66         | 71.82         | 0                 | 0.0581                  |
| 0.0216        | 16.0  | 55632 | 0.5914          | 66.43            | 78.79         | 72.08         | 0                 | 0.0581                  |
| 0.0155        | 17.0  | 59109 | 0.5684          | 70.69            | 78.61         | 74.44         | 0                 | 0.1161                  |
| 0.0019        | 18.0  | 62586 | 0.5796          | 70.35            | 78.68         | 74.28         | 0                 | 0.1161                  |
| 0.0224        | 19.0  | 66063 | 0.5885          | 69.56            | 78.73         | 73.86         | 0                 | 0.1742                  |
| 0.0112        | 20.0  | 69540 | 0.5917          | 72.31            | 78.4          | 75.23         | 0                 | 0.1161                  |
| 0.0014        | 21.0  | 73017 | 0.6102          | 72.56            | 78.24         | 75.3          | 0                 | 0.2323                  |
| 0.0077        | 22.0  | 76494 | 0.5989          | 73.48            | 77.96         | 75.66         | 0                 | 0.1742                  |
| 0.0072        | 23.0  | 79971 | 0.5907          | 74.32            | 78.04         | 76.13         | 0                 | 0.0581                  |
| 0.0066        | 24.0  | 83448 | 0.5899          | 74.62            | 77.87         | 76.21         | 0                 | 0.2323                  |
| 0.0048        | 25.0  | 86925 | 0.5902          | 74.83            | 77.62         | 76.2          | 0                 | 0.2904                  |


### Framework versions

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