transformers safetensors mbart text2text-generation generated_from_trainer base_model:facebook/mbart-large-cc25 autotrain_compatible endpoints_compatible region:us
---
base_model: facebook/mbart-large-cc25
tags:
- generated_from_trainer
model-index:
- name: es+no_processing
  results: []
---

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# es+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: 0.5874
- Smatch Precision: 74.08
- Smatch Recall: 76.84
- Smatch Fscore: 75.44
- Smatch Unparsable: 0
- Percent Not Recoverable: 0.2323

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:-------------:|:-----------------:|:-----------------------:|
| 0.3908        | 1.0   | 3477  | 1.4300          | 19.74            | 68.95         | 30.7          | 0                 | 0.0                     |
| 0.256         | 2.0   | 6954  | 0.8998          | 27.75            | 70.61         | 39.85         | 1                 | 0.0581                  |
| 0.0704        | 3.0   | 10431 | 0.8727          | 30.09            | 72.2          | 42.47         | 0                 | 0.1161                  |
| 0.0586        | 4.0   | 13908 | 0.7774          | 37.1             | 74.93         | 49.62         | 0                 | 0.1161                  |
| 0.1059        | 5.0   | 17385 | 0.6322          | 42.52            | 74.54         | 54.15         | 1                 | 0.1161                  |
| 0.0424        | 6.0   | 20862 | 0.6090          | 47.13            | 76.21         | 58.25         | 0                 | 0.0                     |
| 0.0139        | 7.0   | 24339 | 0.5768          | 48.3             | 77.31         | 59.46         | 0                 | 0.0581                  |
| 0.08          | 8.0   | 27817 | 0.5608          | 55.74            | 77.16         | 64.72         | 0                 | 0.1161                  |
| 0.0224        | 9.0   | 31294 | 0.5937          | 54.91            | 77.02         | 64.11         | 0                 | 0.0581                  |
| 0.0757        | 10.0  | 34771 | 0.5588          | 59.53            | 77.47         | 67.32         | 0                 | 0.0581                  |
| 0.0613        | 11.0  | 38248 | 0.5894          | 60.83            | 77.82         | 68.28         | 0                 | 0.0581                  |
| 0.1045        | 12.0  | 41725 | 0.5847          | 61.23            | 77.17         | 68.28         | 0                 | 0.1742                  |
| 0.012         | 13.0  | 45202 | 0.5588          | 65.61            | 77.47         | 71.05         | 0                 | 0.0                     |
| 0.0591        | 14.0  | 48679 | 0.5609          | 66.51            | 77.86         | 71.74         | 0                 | 0.0581                  |
| 0.0252        | 15.0  | 52156 | 0.5653          | 67.48            | 77.75         | 72.25         | 0                 | 0.0                     |
| 0.0129        | 16.0  | 55634 | 0.5602          | 68.92            | 77.57         | 72.99         | 0                 | 0.0                     |
| 0.0006        | 17.0  | 59111 | 0.5876          | 68.57            | 77.81         | 72.9          | 0                 | 0.1742                  |
| 0.0182        | 18.0  | 62588 | 0.5951          | 68.97            | 77.96         | 73.19         | 0                 | 0.1161                  |
| 0.018         | 19.0  | 66065 | 0.5865          | 70.63            | 77.68         | 73.98         | 0                 | 0.0581                  |
| 0.0097        | 20.0  | 69542 | 0.6073          | 71.68            | 77.38         | 74.42         | 0                 | 0.1161                  |
| 0.0021        | 21.0  | 73019 | 0.5984          | 72.25            | 77.92         | 74.98         | 0                 | 0.0581                  |
| 0.0371        | 22.0  | 76496 | 0.5907          | 72.92            | 77.59         | 75.18         | 0                 | 0.1742                  |
| 0.0382        | 23.0  | 79973 | 0.5928          | 73.06            | 77.49         | 75.21         | 0                 | 0.1742                  |
| 0.0148        | 24.0  | 83451 | 0.5903          | 73.98            | 77.15         | 75.53         | 0                 | 0.0581                  |
| 0.1326        | 25.0  | 86925 | 0.5874          | 74.08            | 76.84         | 75.44         | 0                 | 0.2323                  |


### Framework versions

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