End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7564102564102564
+      value: 0.7496463932107497
     - name: F1
       type: f1
-      value: 0.7100768898860667
+      value: 0.7048383130660278
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -36,9 +36,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [nlptown/bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) on the amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6269
-- Accuracy: 0.7564
-- F1: 0.7101
+- Loss: 0.5919
+- Accuracy: 0.7496
+- F1: 0.7048
 
 ## Model description
 
@@ -69,8 +69,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 94   | 0.6012          | 0.7532   | 0.6974 |
-| No log        | 2.0   | 188  | 0.6269          | 0.7564   | 0.7101 |
+| No log        | 1.0   | 94   | 0.5705          | 0.7539   | 0.6967 |
+| No log        | 2.0   | 188  | 0.5919          | 0.7496   | 0.7048 |
 
 
 ### Framework versions