---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: demo_model
  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. -->

# demo_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3071
- Accuracy: 0.9556

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2576        | 1.0   | 4298  | 0.2377          | 0.9363   |
| 0.1865        | 2.0   | 8596  | 0.2192          | 0.9463   |
| 0.1306        | 3.0   | 12894 | 0.2071          | 0.9525   |
| 0.0954        | 4.0   | 17192 | 0.2278          | 0.9522   |
| 0.0734        | 5.0   | 21490 | 0.2453          | 0.9534   |
| 0.0568        | 6.0   | 25788 | 0.2612          | 0.9541   |
| 0.0427        | 7.0   | 30086 | 0.2736          | 0.9567   |
| 0.0332        | 8.0   | 34384 | 0.2861          | 0.9559   |
| 0.0296        | 9.0   | 38682 | 0.3014          | 0.9552   |
| 0.0198        | 10.0  | 42980 | 0.3071          | 0.9556   |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3