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

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: 0.1585
- F1: 0.8205

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.321         | 1.0   | 114  | 0.2044          | 0.6280 |
| 0.3749        | 2.0   | 228  | 0.1678          | 0.8016 |
| 0.7008        | 3.0   | 342  | 0.1692          | 0.7832 |
| 0.0181        | 4.0   | 456  | 0.1585          | 0.8205 |
| 0.0513        | 5.0   | 570  | 0.1855          | 0.8022 |
| 0.0036        | 6.0   | 684  | 0.2107          | 0.7980 |
| 0.0396        | 7.0   | 798  | 0.2529          | 0.8017 |
| 0.0051        | 8.0   | 912  | 0.2397          | 0.7894 |
| 0.0062        | 9.0   | 1026 | 0.2698          | 0.7897 |
| 0.002         | 10.0  | 1140 | 0.2713          | 0.7878 |


### Framework versions

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