---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned
  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. -->

# distilbert-base-uncased-finetuned

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: 1.0396
- Accuracy: 0.9000

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 0.34          | 1.0   | 10500  | 0.3049          | 0.8909   |
| 0.2648        | 2.0   | 21000  | 0.3869          | 0.8980   |
| 0.203         | 3.0   | 31500  | 0.4494          | 0.8969   |
| 0.1493        | 4.0   | 42000  | 0.5825          | 0.8958   |
| 0.1103        | 5.0   | 52500  | 0.6355          | 0.8983   |
| 0.0642        | 6.0   | 63000  | 0.7923          | 0.8981   |
| 0.0593        | 7.0   | 73500  | 0.8063          | 0.8969   |
| 0.0274        | 8.0   | 84000  | 0.8779          | 0.8997   |
| 0.0142        | 9.0   | 94500  | 0.9841          | 0.8993   |
| 0.0137        | 10.0  | 105000 | 1.0396          | 0.9000   |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3