---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: media-bias-ukraine-dataset-all-removed
  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. -->

# media-bias-ukraine-dataset-all-removed

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: 0.1717
- F1: 0.8014

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3845        | 1.0   | 114  | 0.2296          | 0.6101 |
| 0.1412        | 2.0   | 228  | 0.1759          | 0.7486 |
| 0.0215        | 3.0   | 342  | 0.2275          | 0.7439 |
| 0.0506        | 4.0   | 456  | 0.2064          | 0.7651 |
| 0.0366        | 5.0   | 570  | 0.1717          | 0.8014 |
| 0.2428        | 6.0   | 684  | 0.1955          | 0.7878 |
| 0.005         | 7.0   | 798  | 0.2297          | 0.7839 |
| 0.003         | 8.0   | 912  | 0.2428          | 0.8005 |
| 0.0037        | 9.0   | 1026 | 0.2577          | 0.7884 |
| 0.0099        | 10.0  | 1140 | 0.2641          | 0.7957 |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1
- Datasets 2.10.1
- Tokenizers 0.13.2