Training completed!

README.md

@@ -3,9 +3,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
   results: []
@@ -17,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-emotion
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.2132
-- Accuracy: 0.919
-- F1: 0.9192
 
 ## Model description
 
@@ -47,14 +40,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 250  | 0.2964          | 0.9155   | 0.9148 |
-| No log        | 2.0   | 500  | 0.2132          | 0.919    | 0.9192 |
-
-
 ### Framework versions
 
 - Transformers 4.41.2