---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
base_model: distilbert-base-uncased
model-index:
- name: media-bias-ukraine-dataset-all
  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

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: 0.1657
- F1: 0.7913

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.3811        | 1.0   | 114  | 0.1581          | 0.7517 |
| 0.1738        | 2.0   | 228  | 0.1565          | 0.7760 |
| 0.3121        | 3.0   | 342  | 0.1534          | 0.7876 |
| 0.4289        | 4.0   | 456  | 0.1570          | 0.7909 |
| 0.0522        | 5.0   | 570  | 0.1657          | 0.7913 |


### Framework versions

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