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license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: test3
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. -->
# test3
This model is a fine-tuned version of [jcblaise/bert-tagalog-base-cased](https://huggingface.co/jcblaise/bert-tagalog-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3960
- Accuracy: 0.8683
- Precision: 0.8316
- Recall: 0.8653
- F1: 0.8481
## 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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log | 1.0 | 151 | 0.3770 | 0.8431 | 0.8287 | 0.7951 | 0.8115 |
| No log | 2.0 | 302 | 0.3561 | 0.8528 | 0.7959 | 0.8790 | 0.8354 |
| No log | 3.0 | 453 | 0.3425 | 0.8647 | 0.8636 | 0.8094 | 0.8356 |
| 0.3579 | 4.0 | 604 | 0.3541 | 0.8615 | 0.8090 | 0.8824 | 0.8441 |
| 0.3579 | 5.0 | 755 | 0.3717 | 0.8611 | 0.8075 | 0.8836 | 0.8438 |
| 0.3579 | 6.0 | 906 | 0.3657 | 0.8691 | 0.8352 | 0.8619 | 0.8483 |
| 0.1703 | 7.0 | 1057 | 0.3826 | 0.8700 | 0.8370 | 0.8619 | 0.8493 |
| 0.1703 | 8.0 | 1208 | 0.3960 | 0.8683 | 0.8316 | 0.8653 | 0.8481 |
### Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
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