---
license: gpl-3.0
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: test2
  results: []
pipeline_tag: text-classification
---

<!-- 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. -->

# test2

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: 0.4185
- Accuracy: 0.8669
- Precision: 0.8249
- Recall: 0.8612
- F1: 0.8426

## 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   | 172  | 0.3674          | 0.8444   | 0.8014    | 0.8295 | 0.8152 |
| No log        | 2.0   | 344  | 0.3508          | 0.8542   | 0.8235    | 0.8243 | 0.8239 |
| 0.2992        | 3.0   | 516  | 0.3643          | 0.8564   | 0.8596    | 0.7803 | 0.8181 |
| 0.2992        | 4.0   | 688  | 0.3639          | 0.8622   | 0.8155    | 0.8620 | 0.8381 |
| 0.2992        | 5.0   | 860  | 0.3803          | 0.864    | 0.8316    | 0.8418 | 0.8367 |
| 0.1733        | 6.0   | 1032 | 0.3969          | 0.8702   | 0.8352    | 0.8550 | 0.8450 |
| 0.1733        | 7.0   | 1204 | 0.4185          | 0.8669   | 0.8249    | 0.8612 | 0.8426 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2