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---
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
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