End of training

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- f1
+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