---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: category-1-2-categories-distilbert-base-uncased-v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# category-1-2-categories-distilbert-base-uncased-v2

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: 0.8416
- Accuracy: 0.7299

## 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: 45
- eval_batch_size: 45
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3045        | 1.0   | 698  | 1.0198          | 0.6541   |
| 0.7016        | 2.0   | 1396 | 0.8847          | 0.7050   |
| 0.5081        | 3.0   | 2094 | 0.8510          | 0.7150   |
| 0.4382        | 4.0   | 2792 | 0.8311          | 0.7148   |
| 0.3986        | 5.0   | 3490 | 0.8840          | 0.7043   |
| 0.3072        | 6.0   | 4188 | 0.8342          | 0.7216   |
| 0.2852        | 7.0   | 4886 | 0.8629          | 0.7222   |
| 0.2438        | 8.0   | 5584 | 0.8416          | 0.7299   |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1