End of training

README.md

@@ -1,24 +1,24 @@
 ---
 license: apache-2.0
-base_model: google/muril-base-cased
+base_model: google/fnet-base
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
-- name: muril_classification
+- name: FNet_Classification
   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. -->
 
-# muril_classification
+# FNet_Classification
 
-This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on the None dataset.
+This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4072
-- Accuracy: 0.843
+- Loss: 0.3889
+- Accuracy: 0.813
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6127        | 1.0   | 625  | 0.4807          | 0.809    |
-| 0.4818        | 2.0   | 1250 | 0.4072          | 0.843    |
+| 0.5529        | 1.0   | 625  | 0.4144          | 0.804    |
+| 0.4314        | 2.0   | 1250 | 0.3889          | 0.813    |
 
 
 ### Framework versions