update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert-base-uncased-finetuned-fakenews
+  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. -->
+
+# bert-base-uncased-finetuned-fakenews
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0656
+- Accuracy: 0.9901
+- F1: 0.9909
+
+## 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.0505        | 1.0   | 3045  | 0.2405          | 0.9651   | 0.9685 |
+| 0.0463        | 2.0   | 6090  | 0.0473          | 0.9872   | 0.9881 |
+| 0.0272        | 3.0   | 9135  | 0.0607          | 0.9892   | 0.9900 |
+| 0.0154        | 4.0   | 12180 | 0.0522          | 0.9892   | 0.9900 |
+| 0.0047        | 5.0   | 15225 | 0.0717          | 0.9895   | 0.9903 |
+| 0.0024        | 6.0   | 18270 | 0.0656          | 0.9901   | 0.9909 |
+
+
+### Framework versions
+
+- Transformers 4.22.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1