---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-text-classification-v6
  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-text-classification-v6

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2704
- F1: 0.8474

## 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: 20

### Training results

| Training Loss | Epoch | Step  | Validation Loss | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 1.3969        | 1.0   | 569   | 0.6767          | 0.4906 |
| 0.6361        | 2.0   | 1138  | 0.4067          | 0.7038 |
| 0.3966        | 3.0   | 1707  | 0.3094          | 0.7988 |
| 0.2509        | 4.0   | 2276  | 0.2744          | 0.8339 |
| 0.1678        | 5.0   | 2845  | 0.2704          | 0.8474 |
| 0.126         | 6.0   | 3414  | 0.2810          | 0.8530 |
| 0.098         | 7.0   | 3983  | 0.3025          | 0.8582 |
| 0.0722        | 8.0   | 4552  | 0.2982          | 0.8556 |
| 0.0631        | 9.0   | 5121  | 0.3026          | 0.8597 |
| 0.0581        | 10.0  | 5690  | 0.3059          | 0.8614 |
| 0.0615        | 11.0  | 6259  | 0.3016          | 0.8623 |
| 0.0567        | 12.0  | 6828  | 0.3108          | 0.8608 |
| 0.0572        | 13.0  | 7397  | 0.3072          | 0.8577 |
| 0.0469        | 14.0  | 7966  | 0.3147          | 0.8563 |
| 0.0493        | 15.0  | 8535  | 0.3229          | 0.8637 |
| 0.0477        | 16.0  | 9104  | 0.3183          | 0.8705 |
| 0.0482        | 17.0  | 9673  | 0.3212          | 0.8676 |
| 0.0442        | 18.0  | 10242 | 0.3193          | 0.8667 |
| 0.0432        | 19.0  | 10811 | 0.3224          | 0.8665 |
| 0.0409        | 20.0  | 11380 | 0.3220          | 0.8663 |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.13.3