End of training

README.md

@@ -23,10 +23,10 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8014705882352942
+      value: 0.8308823529411765
     - name: F1
       type: f1
-      value: 0.863406408094435
+      value: 0.8791593695271455
 ---
 
 <!-- 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 [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5381
-- Accuracy: 0.8015
-- F1: 0.8634
+- Loss: 0.5456
+- Accuracy: 0.8309
+- F1: 0.8792
 
 ## Model description
 
@@ -69,14 +69,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| No log        | 1.0   | 459  | 0.5459          | 0.7696   | 0.8469 |
-| 0.6057        | 2.0   | 918  | 0.6090          | 0.7230   | 0.8306 |
-| 0.5287        | 3.0   | 1377 | 0.5381          | 0.8015   | 0.8634 |
+| No log        | 1.0   | 459  | 0.5439          | 0.7549   | 0.8413 |
+| 0.6021        | 2.0   | 918  | 0.5474          | 0.8039   | 0.8701 |
+| 0.4386        | 3.0   | 1377 | 0.5456          | 0.8309   | 0.8792 |
 
 
 ### Framework versions
 
-- Transformers 4.34.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.5
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
 - Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
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 size 711488750