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---
library_name: transformers
base_model: adalbertojunior/distilbert-portuguese-cased
tags:
- generated_from_trainer
model-index:
- name: e500_lr2e-05
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. -->
# e500_lr2e-05
This model is a fine-tuned version of [adalbertojunior/distilbert-portuguese-cased](https://huggingface.co/adalbertojunior/distilbert-portuguese-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8984
## 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: 256
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 500
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.2503 | 100.0 | 100 | 4.9669 |
| 4.2273 | 200.0 | 200 | 3.8103 |
| 3.384 | 300.0 | 300 | 3.3028 |
| 2.989 | 400.0 | 400 | 2.8012 |
| 2.8123 | 500.0 | 500 | 2.9104 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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