Update README.md

README.md

@@ -1,3 +1,53 @@
 ---
 license: mit
 ---
+
+<!-- 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. -->
+
+# test_trainer
+
+this model is based on distilbert to train on fake reviews dataset 
+It achieves the following results on the evaluation set:
+- Loss: 0.1408
+- Accuracy: 0.9834
+
+## Model description
+
+Based on Distilbert 
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+Dataset is 
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.0622        | 1.0   | 3791  | 0.1079          | 0.9800   |
+| 0.0174        | 2.0   | 7582  | 0.2099          | 0.9692   |
+| 0.005         | 3.0   | 11373 | 0.1408          | 0.9834   |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.13.2