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---
language:
- pt
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-finetuned-lener_br
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. -->
# xlm-roberta-base-finetuned-lener_br
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co./xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9094
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.545 | 1.0 | 2079 | 1.4107 |
| 1.4708 | 2.0 | 4158 | 1.3126 |
| 1.322 | 3.0 | 6237 | 1.1943 |
| 1.1986 | 4.0 | 8316 | 1.1581 |
| 1.1316 | 5.0 | 10395 | 1.1156 |
| 1.0824 | 6.0 | 12474 | 1.0400 |
| 1.0435 | 7.0 | 14553 | 1.0276 |
| 0.9824 | 8.0 | 16632 | 1.0119 |
| 0.9289 | 9.0 | 18711 | nan |
| 0.9123 | 10.0 | 20790 | 0.9945 |
| 0.8591 | 11.0 | 22869 | nan |
| 0.8411 | 12.0 | 24948 | 0.9413 |
| 0.8376 | 13.0 | 27027 | 0.9411 |
| 0.7868 | 14.0 | 29106 | 0.9228 |
| 0.8012 | 15.0 | 31185 | 0.9449 |
### Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
|