Update README.md

README.md

@@ -10,4 +10,38 @@ tags:
 - nlp
 - bert
 - fine-tune
----
+---
+
+
+# distilbert-base-uncased-finetuned-fashion
+
+This model is a fine-tuned version of [bert-base-french-europeana-cased](https://huggingface.co/dbmdz/bert-base-french-europeana-cased) on a munally created dataset in order to detect fashion (label_0) from non-fashion (label_1) items.
+It achieves the following results on the evaluation set:
+- Loss: 1.21
+- Accuracy: 0.85
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy 
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 4.2           | 1.0   | 47    | 4.15156         | 0.174    | 
+...
+| 1.216         | 10    | 490   | 1.2586          | 0.856    |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.1.0
+- Tokenizers 0.12.1