---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: en+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+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: 0.4481
- Smatch Precision: 80.57
- Smatch Recall: 83.81
- Smatch Fscore: 82.16
- Smatch Unparsable: 0
- Percent Not Recoverable: 0.3484

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:-------------:|:-----------------:|:-----------------------:|
| 0.3471        | 1.0   | 3477  | 1.4889          | 22.35            | 73.05         | 34.23         | 0                 | 0.1161                  |
| 0.1741        | 2.0   | 6954  | 0.8681          | 30.1             | 71.92         | 42.44         | 0                 | 0.1161                  |
| 0.1296        | 3.0   | 10431 | 0.7081          | 38.6             | 78.68         | 51.8          | 0                 | 0.0581                  |
| 0.1308        | 4.0   | 13908 | 0.9546          | 37.49            | 78.23         | 50.69         | 0                 | 0.0                     |
| 0.2213        | 5.0   | 17385 | 0.5544          | 47.63            | 81.17         | 60.03         | 0                 | 0.0                     |
| 0.0317        | 6.0   | 20862 | 0.4884          | 49.3             | 80.9          | 61.27         | 0                 | 0.0                     |
| 0.1007        | 7.0   | 24339 | 0.4763          | 54.88            | 82.09         | 65.78         | 0                 | 0.0                     |
| 0.092         | 8.0   | 27817 | 0.4444          | 57.37            | 83.2          | 67.91         | 0                 | 0.0                     |
| 0.1051        | 9.0   | 31294 | 0.4192          | 64.37            | 83.81         | 72.82         | 0                 | 0.0                     |
| 0.0079        | 10.0  | 34771 | 0.4685          | 61.3             | 83.1          | 70.55         | 0                 | 0.0                     |
| 0.0211        | 11.0  | 38248 | 0.4389          | 63.36            | 84.57         | 72.44         | 0                 | 0.1161                  |
| 0.1122        | 12.0  | 41725 | 0.4146          | 69.39            | 83.56         | 75.82         | 0                 | 0.0581                  |
| 0.0183        | 13.0  | 45202 | 0.4003          | 73.9             | 83.71         | 78.5          | 0                 | 0.0                     |
| 0.0244        | 14.0  | 48679 | 0.4208          | 73.79            | 83.92         | 78.53         | 0                 | 0.1161                  |
| 0.0116        | 15.0  | 52156 | 0.4248          | 73.88            | 83.85         | 78.55         | 0                 | 0.1161                  |
| 0.0357        | 16.0  | 55634 | 0.4235          | 75.78            | 84.08         | 79.71         | 0                 | 0.1161                  |
| 0.0006        | 17.0  | 59111 | 0.4181          | 76.15            | 84.15         | 79.95         | 0                 | 0.0581                  |
| 0.0329        | 18.0  | 62588 | 0.4494          | 77.21            | 84.12         | 80.52         | 0                 | 0.0                     |
| 0.0003        | 19.0  | 66065 | 0.4389          | 78.02            | 84.13         | 80.96         | 0                 | 0.0                     |
| 0.04          | 20.0  | 69542 | 0.4439          | 78.78            | 84.23         | 81.41         | 0                 | 0.0                     |
| 0.0182        | 21.0  | 73019 | 0.4430          | 79.82            | 84.05         | 81.88         | 0                 | 0.0581                  |
| 0.0006        | 22.0  | 76496 | 0.4488          | 79.96            | 83.74         | 81.81         | 0                 | 0.0581                  |
| 0.0074        | 23.0  | 79973 | 0.4569          | 79.84            | 83.85         | 81.79         | 0                 | 0.0581                  |
| 0.0133        | 24.0  | 83451 | 0.4469          | 80.45            | 83.81         | 82.09         | 0                 | 0.2904                  |
| 0.0055        | 25.0  | 86925 | 0.4481          | 80.57            | 83.81         | 82.16         | 0                 | 0.3484                  |


### Framework versions

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