Training completed!

README.md

@@ -4,6 +4,9 @@ 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: []
@@ -15,6 +18,10 @@ 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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2096
+- Accuracy: 0.925
+- F1: 0.9249
 
 ## Model description
 
@@ -41,9 +48,17 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.8021        | 1.0   | 250  | 0.2950          | 0.91     | 0.9096 |
+| 0.2381        | 2.0   | 500  | 0.2096          | 0.925    | 0.9249 |
+
+
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.4.1+cu121
-- Datasets 3.0.0
+- Datasets 3.0.1
 - Tokenizers 0.19.1

runs/Sep26_21-31-47_ce04dca57a00/events.out.tfevents.1727386320.ce04dca57a00.5261.0

@@ -1,3 +1,3 @@
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