End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: allenai/longformer-base-4096
+base_model: distilbert/distilbert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Fake-News-Detector
 
-This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0022
-- Accuracy: 0.9999
+- Loss: 0.0046
+- Accuracy: 0.9996
 
 ## Model description
 
@@ -38,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 12
-- eval_batch_size: 12
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0036        | 1.0   | 2994 | 0.0022          | 0.9999   |
+| 0.0084        | 1.0   | 1123 | 0.0046          | 0.9996   |
 
 
 ### Framework versions