---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: distilbert_text_classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert_text_classifier

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: 0.0004

## 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: 5e-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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9411        | 1.0   | 64   | 0.8375          |
| 0.1729        | 2.0   | 128  | 0.0840          |
| 0.0133        | 3.0   | 192  | 0.0375          |
| 0.0155        | 4.0   | 256  | 0.0099          |
| 0.0037        | 5.0   | 320  | 0.0037          |
| 0.0015        | 6.0   | 384  | 0.0023          |
| 0.001         | 7.0   | 448  | 0.0016          |
| 0.0007        | 8.0   | 512  | 0.0014          |
| 0.0005        | 9.0   | 576  | 0.0014          |
| 0.0005        | 10.0  | 640  | 0.0004          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Tokenizers 0.15.0