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

# my_model

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: 0.4081
- Accuracy: 0.88

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 125  | 0.5176          | 0.85     |
| No log        | 2.0   | 250  | 0.3960          | 0.88     |
| No log        | 3.0   | 375  | 0.3505          | 0.888    |
| 0.4861        | 4.0   | 500  | 0.3506          | 0.89     |
| 0.4861        | 5.0   | 625  | 0.3605          | 0.89     |
| 0.4861        | 6.0   | 750  | 0.3556          | 0.89     |
| 0.4861        | 7.0   | 875  | 0.4019          | 0.882    |
| 0.1193        | 8.0   | 1000 | 0.4135          | 0.88     |
| 0.1193        | 9.0   | 1125 | 0.4071          | 0.882    |
| 0.1193        | 10.0  | 1250 | 0.4081          | 0.88     |


### Framework versions

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