End of training

README.md

@@ -17,8 +17,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2586
-- Accuracy: 0.9425
+- Loss: 0.4292
+- Accuracy: 0.9025
 
 ## Model description
 
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4342        | 1.0   | 842  | 0.2763          | 0.9195   |
-| 0.2111        | 2.0   | 1684 | 0.1614          | 0.9425   |
-| 0.0733        | 3.0   | 2526 | 0.2586          | 0.9425   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2708        | 1.0   | 8419  | 0.3756          | 0.9014   |
+| 0.176         | 2.0   | 16838 | 0.4179          | 0.8979   |
+| 0.1047        | 3.0   | 25257 | 0.4292          | 0.9025   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0543771dd2f325f6c6d3e24df9eb5cc4c84827266252d8645774ac963ee6008c
+oid sha256:cb6a9628dec72ca6500d6f3f0d0b9f6c82fd33db63b0b6813910f75ab9c33fc0
 size 437958648

runs/Mar27_14-59-27_18e92b9dc633/events.out.tfevents.1711551576.18e92b9dc633.413.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:19d2fe016e4168dfe3deb33896ada94976312855c1486fa9de2fd8df19844a38
-size 12161
+oid sha256:33a17d417e0daffd9e206ee32a043e33ea137ddde5ef3fd1f8837bd340a03a99
+size 16505