---
license: mit
base_model: prajjwal1/bert-tiny
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: BP-INT03
  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. -->

# BP-INT03

This model is a fine-tuned version of [prajjwal1/bert-tiny](https://huggingface.co/prajjwal1/bert-tiny) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3220
- Accuracy: 0.89
- F1: 0.8889

## 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: 16
- eval_batch_size: 16
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 0.0   | 50   | 0.6958          | 0.43     | 0.2586 |
| No log        | 0.01  | 100  | 0.6890          | 0.67     | 0.6043 |
| No log        | 0.01  | 150  | 0.6814          | 0.57     | 0.4139 |
| No log        | 0.02  | 200  | 0.6723          | 0.57     | 0.4139 |
| No log        | 0.02  | 250  | 0.6289          | 0.81     | 0.8103 |
| No log        | 0.03  | 300  | 0.5298          | 0.82     | 0.8207 |
| No log        | 0.03  | 350  | 0.4480          | 0.88     | 0.8796 |
| No log        | 0.04  | 400  | 0.4042          | 0.89     | 0.8889 |
| No log        | 0.04  | 450  | 0.3688          | 0.9      | 0.8988 |
| 0.6099        | 0.05  | 500  | 0.3615          | 0.89     | 0.8889 |
| 0.6099        | 0.05  | 550  | 0.3542          | 0.89     | 0.8889 |
| 0.6099        | 0.06  | 600  | 0.3443          | 0.89     | 0.8889 |
| 0.6099        | 0.06  | 650  | 0.3300          | 0.89     | 0.8889 |
| 0.6099        | 0.07  | 700  | 0.3196          | 0.89     | 0.8889 |
| 0.6099        | 0.07  | 750  | 0.3220          | 0.89     | 0.8889 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0