---
base_model: huawei-noah/TinyBERT_General_4L_312D
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Capstone_TinyBert
  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. -->

# Capstone_TinyBert

This model is a fine-tuned version of [huawei-noah/TinyBERT_General_4L_312D](https://huggingface.co./huawei-noah/TinyBERT_General_4L_312D) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3172
- Accuracy: 0.8772

## 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: 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4628        | 1.0   | 313  | 0.3617          | 0.852    |
| 0.3369        | 2.0   | 626  | 0.3218          | 0.8644   |
| 0.2949        | 3.0   | 939  | 0.3143          | 0.8744   |
| 0.2699        | 4.0   | 1252 | 0.3192          | 0.8718   |
| 0.2481        | 5.0   | 1565 | 0.3172          | 0.8772   |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3