End of training

README.md

@@ -6,23 +6,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: Fake-News-Detector-Long
+- name: fake-news-detector-long
   results: []
-datasets:
-- AlexanderHolmes0/true-fake-news
-language:
-- en
 ---
 
 <!-- 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-Detector-Long
+# fake-news-detector-long
 
 This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0033
-- Accuracy: 0.9997
+- Loss: 0.0021
+- Accuracy: 0.9998
 
 ## Model description
 
@@ -42,8 +38,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -53,12 +49,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0011        | 1.0   | 4490 | 0.0033          | 0.9997   |
+| 0.0           | 1.0   | 8418 | 0.0021          | 0.9998   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.39.1
 - Pytorch 2.2.0+cu121
 - Datasets 2.18.0
-- Tokenizers 0.15.1
+- Tokenizers 0.15.1