Update README.md

README.md

@@ -1,10 +1,9 @@
-This model is a fine-tuned version of <a href="https://huggingface.co/roberta-base">roberta-base</a> over the <a href="https://competitions.codalab.org/competitions/36410#learn_the_details">Shared task on Detecting Signs of Depression from Social Media Text at LT-EDI 2022-ACL 2022 corpus</a>. It achieves the following results on the development set:
+This model is a fine-tuned version the <a href="https://huggingface.co/cardiffnlp/twitter-roberta-base">cardiffnlp/twitter-roberta-base</a> model. It has been trained using a recently published corpus: <a href="https://competitions.codalab.org/competitions/36410#learn_the_details">Shared task on Detecting Signs of Depression from Social Media Text at LT-EDI 2022-ACL 2022</a>. 
 
-* Loss: 
-* Macro F1-Score: 
+The obtained macro f1-score is 0.54, on the development set of the competition.
 
 # Intended uses
-This model is trained to classify the given text into one of the following classes: *moderate*, *severe* or *not depressed*.
+This model is trained to classify the given text into one of the following classes: *moderate*, *severe*, or *not depressed*.
 It corresponds to a **multiclass classification** task.
 
 # Training and evaluation data
@@ -83,5 +82,6 @@ The following hyperparameters were used during training:
 * per_device_train_batch_size: 8
 * per_device_eval_batch_size: 8
 * num_train_epochs: 5
+* seed: 10
 * weight_decay: 0.01
-* metric_for_best_model: macro F1-Score
+* metric_for_best_model: macro-f1