End of training

README.md

@@ -1,24 +1,24 @@
 ---
-license: mit
-base_model: xlm-roberta-base
+license: apache-2.0
+base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 metrics:
 - accuracy
 model-index:
-- name: test_model
+- name: test_model2
   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. -->
 
-# test_model
+# test_model2
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3850
-- Accuracy: 0.829
+- Loss: 0.3293
+- Accuracy: 0.867
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5957        | 1.0   | 625  | 0.4454          | 0.8      |
-| 0.4693        | 2.0   | 1250 | 0.3850          | 0.829    |
+| 0.5087        | 1.0   | 625  | 0.3446          | 0.853    |
+| 0.3562        | 2.0   | 1250 | 0.3293          | 0.867    |
 
 
 ### Framework versions