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---
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
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