End of training

README.md

@@ -4,6 +4,11 @@ license: apache-2.0
 base_model: distilbert-base-uncased-finetuned-sst-2-english
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: twitter_financial_sentiment
   results: []
@@ -16,7 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3812
+- Loss: 0.3798
+- Precision: 0.8651
+- Recall: 0.8643
+- F1: 0.8645
+- Accuracy: 0.8643
 
 ## Model description
 
@@ -45,11 +54,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 0.5251        | 1.0   | 597  | 0.4168          |
-| 0.3051        | 2.0   | 1194 | 0.3779          |
-| 0.2661        | 3.0   | 1791 | 0.3812          |
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.5218        | 1.0   | 597  | 0.4166          | 0.8382    | 0.8354 | 0.8365 | 0.8354   |
+| 0.2876        | 2.0   | 1194 | 0.3783          | 0.8607    | 0.8597 | 0.8592 | 0.8597   |
+| 0.2956        | 3.0   | 1791 | 0.3798          | 0.8651    | 0.8643 | 0.8645 | 0.8643   |
 
 
 ### Framework versions