---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: cat-1-html-distilbert-base-uncased-v3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cat-1-html-distilbert-base-uncased-v3

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: 0.1858
- Accuracy: 0.9627

## 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: 60
- eval_batch_size: 60
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.236         | 1.0   | 803  | 0.1452          | 0.9425   |
| 0.1295        | 2.0   | 1606 | 0.1392          | 0.9395   |
| 0.1151        | 3.0   | 2409 | 0.1617          | 0.9605   |
| 0.0805        | 4.0   | 3212 | 0.1483          | 0.9599   |
| 0.0634        | 5.0   | 4015 | 0.1907          | 0.9633   |
| 0.0449        | 6.0   | 4818 | 0.1858          | 0.9627   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.0
- Datasets 2.20.0
- Tokenizers 0.19.1