bhatia1289/finetune-bert

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 4.2337
+- Loss: 4.2056
 
 ## Model description
 
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 4.27          | 0.0090 | 100  | 4.2337          |
+| 4.2343        | 0.0090 | 100  | 4.2056          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c6dbb529d5e4e92ed98b9c4c93935d9771dc1589f04c9b2dc8798ff1f7152c5
+oid sha256:6540197db0c655fcedb808b0e99d141ff7f5da1e825562459b834330e22d27c4
 size 435596088