electra-3-epoch-sentiment

README.md

@@ -24,13 +24,13 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6884565288179746
+      value: 0.694399218495604
     - name: Precision
       type: precision
-      value: 0.6917205994992218
+      value: 0.6974534604256839
     - name: Recall
       type: recall
-      value: 0.6884565288179746
+      value: 0.694399218495604
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,12 +40,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the tweet_eval dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7153
-- Accuracy: 0.6885
-- Precision: 0.6917
-- Recall: 0.6885
-- Micro-avg-recall: 0.6885
-- Micro-avg-precision: 0.6885
+- Loss: 0.7133
+- Accuracy: 0.6944
+- Precision: 0.6975
+- Recall: 0.6944
+- Micro-avg-recall: 0.6944
+- Micro-avg-precision: 0.6944
 
 ## Model description
 
@@ -76,9 +76,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Micro-avg-recall | Micro-avg-precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:----------------:|:-------------------:|
-| 0.6307        | 1.0   | 2851 | 0.6867          | 0.6997   | 0.6998    | 0.6997 | 0.6997           | 0.6997              |
-| 0.6717        | 2.0   | 5702 | 0.7312          | 0.6820   | 0.6877    | 0.6820 | 0.6820           | 0.6820              |
-| 0.5799        | 3.0   | 8553 | 0.7153          | 0.6885   | 0.6917    | 0.6885 | 0.6885           | 0.6885              |
+| 0.633         | 1.0   | 2851 | 0.6916          | 0.6968   | 0.6972    | 0.6968 | 0.6968           | 0.6968              |
+| 0.6322        | 2.0   | 5702 | 0.7180          | 0.6915   | 0.6948    | 0.6915 | 0.6915           | 0.6915              |
+| 0.5729        | 3.0   | 8553 | 0.7133          | 0.6944   | 0.6975    | 0.6944 | 0.6944           | 0.6944              |
 
 
 ### Framework versions