---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert-base-uncased-text-classification-v5
  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-v5

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: 0.2879
- F1: 0.8471

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.3863        | 1.0   | 569  | 0.7220          | 0.4679 |
| 0.6212        | 2.0   | 1138 | 0.4596          | 0.6839 |
| 0.3746        | 3.0   | 1707 | 0.3441          | 0.7901 |
| 0.2685        | 4.0   | 2276 | 0.3036          | 0.8204 |
| 0.172         | 5.0   | 2845 | 0.2884          | 0.8289 |
| 0.1328        | 6.0   | 3414 | 0.2879          | 0.8471 |
| 0.1068        | 7.0   | 3983 | 0.2957          | 0.8400 |
| 0.0757        | 8.0   | 4552 | 0.2917          | 0.8464 |
| 0.0693        | 9.0   | 5121 | 0.2931          | 0.8404 |
| 0.0651        | 10.0  | 5690 | 0.2921          | 0.8428 |


### Framework versions

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