End of training

README.md

@@ -4,18 +4,18 @@ base_model: bert-base-uncased
 tags:
 - generated_from_trainer
 model-index:
-- name: bert-classifier
+- name: bert-classifier-v2
   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. -->
 
-# bert-classifier
+# bert-classifier-v2
 
 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: 0.1231
+- Loss: 0.1487
 
 ## Model description
 
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.2106        | 1.0   | 1038 | 0.1037          |
-| 0.0526        | 2.0   | 2076 | 0.0688          |
-| 0.0691        | 3.0   | 3114 | 0.0716          |
-| 0.0811        | 4.0   | 4152 | 0.0931          |
-| 0.0001        | 5.0   | 5190 | 0.1231          |
+| 0.1617        | 1.0   | 1038 | 0.0921          |
+| 0.0654        | 2.0   | 2076 | 0.0994          |
+| 0.1284        | 3.0   | 3114 | 0.1286          |
+| 0.0659        | 4.0   | 4152 | 0.1367          |
+| 0.0001        | 5.0   | 5190 | 0.1487          |
 
 
 ### Framework versions