End of training

README.md

@@ -1,24 +1,24 @@
 ---
-license: cc-by-4.0
-base_model: l3cube-pune/telugu-bert
+license: mit
+base_model: xlnet/xlnet-base-cased
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
-- name: telugu-bert
+- name: xlnet
   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. -->
 
-# telugu-bert
+# xlnet
 
-This model is a fine-tuned version of [l3cube-pune/telugu-bert](https://huggingface.co/l3cube-pune/telugu-bert) on the None dataset.
+This model is a fine-tuned version of [xlnet/xlnet-base-cased](https://huggingface.co/xlnet/xlnet-base-cased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3905
-- Accuracy: 0.848
+- Loss: 0.3991
+- Accuracy: 0.823
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5958        | 1.0   | 625  | 0.4664          | 0.807    |
-| 0.4502        | 2.0   | 1250 | 0.3905          | 0.848    |
+| 0.627         | 1.0   | 625  | 0.4767          | 0.773    |
+| 0.4575        | 2.0   | 1250 | 0.3991          | 0.823    |
 
 
 ### Framework versions