---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
base_model: distilbert-base-uncased
model-index:
- name: media-bias-ukraine-dataset-all-minus-ukraine-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-minus-ukraine-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: 3.1320
- F1: 0.1873

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.4073        | 1.0   | 138  | 2.2614          | 0.1325 |
| 0.0399        | 2.0   | 276  | 2.0816          | 0.1332 |
| 0.2509        | 3.0   | 414  | 2.8722          | 0.1637 |
| 0.0338        | 4.0   | 552  | 3.1320          | 0.1873 |
| 0.0056        | 5.0   | 690  | 3.5202          | 0.1682 |
| 0.0064        | 6.0   | 828  | 3.4360          | 0.1696 |
| 0.0011        | 7.0   | 966  | 3.4185          | 0.1714 |
| 0.0023        | 8.0   | 1104 | 3.4920          | 0.1694 |
| 0.0011        | 9.0   | 1242 | 3.6794          | 0.1722 |
| 0.0018        | 10.0  | 1380 | 3.6641          | 0.1702 |


### Framework versions

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