update model card README.md

README.md

@@ -1,11 +1,46 @@
 ---
-language:
-- en
-tags:
-- fake news detection
 license: apache-2.0
-datasets:
-- https://www.kaggle.com/clmentbisaillon/fake-and-real-news-dataset
-metrics:
-- MSE
----
+tags:
+- generated_from_trainer
+model-index:
+- name: Fake-news-detection-bert-based-uncased
+  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. -->
+
+# Fake-news-detection-bert-based-uncased
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+
+## 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: 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
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Tokenizers 0.11.6