---
license: apache-2.0
base_model: pradanaadn/sucidal-text-classification-distillbert
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: sucidal-text-classification-distillbert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# sucidal-text-classification-distillbert

This model is a fine-tuned version of [pradanaadn/sucidal-text-classification-distillbert](https://huggingface.co/pradanaadn/sucidal-text-classification-distillbert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5138
- Accuracy: 0.8106
- F1: 0.7801

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| 0.2549        | 0.7530 | 500  | 0.5138          | 0.8106   | 0.7801 |
| 0.2054        | 1.5060 | 1000 | 0.6016          | 0.8142   | 0.7877 |
| 0.1666        | 2.2590 | 1500 | 0.6464          | 0.8164   | 0.7896 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Tokenizers 0.19.1