Create README.md

README.md

@@ -0,0 +1,40 @@
+# finetuned-distilbert-news-article-catgorization
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the news_article_categorization dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.01338
+- F1_score(weighted): 1.0
+
+## 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: 1e-5
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 17
+- optimizer: AdamW(lr=1e-5 and epsilon=1e-08)
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0
+- num_epochs: 5
+### Training results
+| Training Loss | Epoch |  Validation Loss | f1 score   |
+|:-------------:|:-----:|:---------------: |:------:|
+| 0.5176        | 1.0   | 0.0466           | 0.9838 |
+| 0.0513        | 2.0   | 0.0051           | 1.0000 |
+| 0.0320        | 3.0   | 0.0032           | 1.0000 |
+| 0.0229        | 4.0   | 0.0018           | 1.0000 |
+| 0.0133        | 5.0   | 0.0017           | 1.0000 |