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

# results

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9905
- Accuracy: 0.5067

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 132  | 0.6630          | 0.6267   |
| No log        | 2.0   | 264  | 0.6697          | 0.6267   |
| No log        | 3.0   | 396  | 0.6605          | 0.6267   |
| 0.6686        | 4.0   | 528  | 0.6797          | 0.6267   |
| 0.6686        | 5.0   | 660  | 0.6599          | 0.5733   |
| 0.6686        | 6.0   | 792  | 0.6702          | 0.58     |
| 0.6686        | 7.0   | 924  | 0.7593          | 0.5267   |
| 0.6278        | 8.0   | 1056 | 0.7622          | 0.6      |
| 0.6278        | 9.0   | 1188 | 0.8147          | 0.6067   |
| 0.6278        | 10.0  | 1320 | 1.2285          | 0.5733   |
| 0.6278        | 11.0  | 1452 | 1.2681          | 0.58     |
| 0.5453        | 12.0  | 1584 | 1.4571          | 0.5667   |
| 0.5453        | 13.0  | 1716 | 1.5210          | 0.5467   |
| 0.5453        | 14.0  | 1848 | 1.6548          | 0.5733   |
| 0.5453        | 15.0  | 1980 | 1.6931          | 0.5667   |
| 0.4703        | 16.0  | 2112 | 1.8606          | 0.5867   |
| 0.4703        | 17.0  | 2244 | 1.9779          | 0.56     |
| 0.4703        | 18.0  | 2376 | 2.3998          | 0.4933   |
| 0.3567        | 19.0  | 2508 | 2.2930          | 0.5      |
| 0.3567        | 20.0  | 2640 | 2.6606          | 0.4933   |
| 0.3567        | 21.0  | 2772 | 2.4945          | 0.4933   |
| 0.3567        | 22.0  | 2904 | 2.6740          | 0.5133   |
| 0.2371        | 23.0  | 3036 | 2.7472          | 0.5      |
| 0.2371        | 24.0  | 3168 | 2.7916          | 0.5      |
| 0.2371        | 25.0  | 3300 | 2.8399          | 0.5      |
| 0.2371        | 26.0  | 3432 | 2.8665          | 0.52     |
| 0.1688        | 27.0  | 3564 | 2.9246          | 0.5133   |
| 0.1688        | 28.0  | 3696 | 2.9675          | 0.5      |
| 0.1688        | 29.0  | 3828 | 2.9967          | 0.5067   |
| 0.1688        | 30.0  | 3960 | 2.9905          | 0.5067   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3