ohnoadrummer/finetuning-bert-brand-sentiment

README.md

@@ -4,6 +4,9 @@ license: mit
 base_model: nlptown/bert-base-multilingual-uncased-sentiment
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
+- f1
 model-index:
 - name: finetuning-bert-brand-sentiment
   results: []
@@ -15,6 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 # finetuning-bert-brand-sentiment
 
 This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6467
+- Model Preparation Time: 0.0035
+- Accuracy: 0.7733
+- F1: 0.7659
 
 ## Model description
 
@@ -41,6 +49,10 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+
+
 ### Framework versions
 
 - Transformers 4.53.2