Update README.md

README.md

@@ -13,9 +13,6 @@ pipeline_tag: text-classification
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 ---
 
-<!-- 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. -->
-
 # tmp_trainer
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on the None dataset.
@@ -23,13 +20,6 @@ It achieves the following results on the evaluation set:
 - Loss: 0.502831
 - Accuracy: 0.798512
 
-## Model description
-
-
-
-## Intended uses & limitations
-
-More information needed
 
 ## Training and evaluation data
 
@@ -53,12 +43,11 @@ More information needed
 
 ### Training hyperparameters
 
-The following hyperparameters were used during training:
-    learning_rate=2e-5,
-    num_train_epochs=20,
-    weight_decay=0.01,
-    per_device_train_batch_size=16,   # batch size per device during training
-    per_device_eval_batch_size=16,    # batch size for evaluation
+- The following hyperparameters were used during training:
+    - learning_rate=2e-5
+    - num_train_epochs=20
+    - weight_decay=0.01
+    - batch_size=16,  
 ### Framework versions
 - Transformers 4.35.0
 - Pytorch 2.0.0