---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Distilbert-For-Capstone
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Distilbert-For-Capstone

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6532
- Accuracy: 0.8143

## 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: 16
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7016        | 1.0   | 1246 | 0.6950          | 0.4983   |
| 0.5651        | 2.0   | 2492 | 0.4257          | 0.8055   |
| 0.3214        | 3.0   | 3738 | 0.4674          | 0.8145   |
| 0.2316        | 4.0   | 4984 | 0.5106          | 0.8131   |
| 0.181         | 5.0   | 6230 | 0.6532          | 0.8143   |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3