update model card README.md

README.md

@@ -23,7 +23,7 @@ model-index:
       value: 0.87
     - name: F1
       type: f1
-      value: 0.8769716088328076
+      value: 0.8659793814432989
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3348
+- Loss: 0.4984
 - Accuracy: 0.87
-- F1: 0.8770
+- F1: 0.8660
 
 ## Model description
 
@@ -55,12 +55,12 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- 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: 2
+- num_epochs: 4
 
 ### Training results
 
@@ -70,5 +70,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.17.0
 - Pytorch 1.10.0+cu111
-- Datasets 1.18.3
+- Datasets 1.18.4
 - Tokenizers 0.11.6