End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7496463932107497
+      value: 0.7703180212014135
     - name: F1
       type: f1
-      value: 0.7048383130660278
+      value: 0.7271375381543915
 ---
 
 <!-- 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: 0.5919
-- Accuracy: 0.7496
-- F1: 0.7048
+- Loss: 0.5859
+- Accuracy: 0.7703
+- F1: 0.7271
 
 ## 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   | 0.5705          | 0.7539   | 0.6967 |
-| No log        | 2.0   | 188  | 0.5919          | 0.7496   | 0.7048 |
+| No log        | 1.0   | 188  | 0.5587          | 0.7756   | 0.7297 |
+| No log        | 2.0   | 376  | 0.5859          | 0.7703   | 0.7271 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2ea22714e6c8db7a25841410ffcb63d41f869cdca68d6dbde55a754eba97f731
 size 669503281