update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: distilroberta-base-finetuned-fakeNews
   results: []
@@ -14,12 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0285
-- eval_runtime: 244.4999
-- eval_samples_per_second: 33.198
-- eval_steps_per_second: 2.078
-- epoch: 1.0
-- step: 1523
+- Loss: 0.0496
+- Accuracy: 0.9878
 
 ## Model description
 
@@ -44,11 +42,20 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0216        | 1.0   | 1250 | 0.0518          | 0.9864   |
+| 0.0161        | 2.0   | 2500 | 0.0465          | 0.9878   |
+| 0.0065        | 3.0   | 3750 | 0.0496          | 0.9878   |
+
 
 ### Framework versions
 
-- Transformers 4.18.0
+- Transformers 4.20.0
 - Pytorch 1.11.0+cu113
-- Datasets 2.1.0
+- Datasets 2.3.2
 - Tokenizers 0.12.1