End of training

README.md

@@ -7,19 +7,19 @@ tags:
 metrics:
 - accuracy
 model-index:
-- name: BertClassificationTest
+- name: BertClassificationTestMalayalam
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# BertClassificationTest
+# BertClassificationTestMalayalam
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5371
-- Accuracy: 0.8558
+- Loss: 0.7209
+- Accuracy: 0.5932
 
 ## Model description
 
@@ -50,10 +50,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 65   | 0.4451          | 0.8462   |
-| No log        | 2.0   | 130  | 0.4713          | 0.8462   |
-| No log        | 3.0   | 195  | 0.4581          | 0.8558   |
-| No log        | 4.0   | 260  | 0.5371          | 0.8558   |
+| No log        | 1.0   | 37   | 0.6134          | 0.7288   |
+| No log        | 2.0   | 74   | 0.6139          | 0.6102   |
+| No log        | 3.0   | 111  | 0.6213          | 0.6949   |
+| No log        | 4.0   | 148  | 0.7209          | 0.5932   |
 
 
 ### Framework versions