---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert-base-uncased
  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

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0009

## 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.0246        | 0.2907 | 500  | 0.0049          |
| 0.0041        | 0.5814 | 1000 | 0.0018          |
| 0.0019        | 0.8721 | 1500 | 0.0012          |
| 0.001         | 1.1628 | 2000 | 0.0010          |
| 0.0008        | 1.4535 | 2500 | 0.0010          |
| 0.0003        | 1.7442 | 3000 | 0.0008          |
| 0.0005        | 2.0349 | 3500 | 0.0010          |
| 0.0003        | 2.3256 | 4000 | 0.0009          |
| 0.0004        | 2.6163 | 4500 | 0.0010          |
| 0.0002        | 2.9070 | 5000 | 0.0009          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1