End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3690
-- Accuracy: 0.9119
+- Loss: 0.5132
+- Accuracy: 0.9034
 
 ## Model description
 
@@ -48,14 +48,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 88   | 1.0040          | 0.7528   |
-| No log        | 2.0   | 176  | 0.4404          | 0.8892   |
-| No log        | 3.0   | 264  | 0.3365          | 0.8977   |
-| No log        | 4.0   | 352  | 0.2969          | 0.9205   |
-| No log        | 5.0   | 440  | 0.3452          | 0.9034   |
-| 0.594         | 6.0   | 528  | 0.3440          | 0.9091   |
-| 0.594         | 7.0   | 616  | 0.3584          | 0.9119   |
-| 0.594         | 8.0   | 704  | 0.3690          | 0.9119   |
+| No log        | 1.0   | 88   | 0.3975          | 0.9006   |
+| No log        | 2.0   | 176  | 0.3922          | 0.9034   |
+| No log        | 3.0   | 264  | 0.4732          | 0.9034   |
+| No log        | 4.0   | 352  | 0.5226          | 0.8949   |
+| No log        | 5.0   | 440  | 0.4903          | 0.9034   |
+| 0.0513        | 6.0   | 528  | 0.5203          | 0.9062   |
+| 0.0513        | 7.0   | 616  | 0.5192          | 0.8949   |
+| 0.0513        | 8.0   | 704  | 0.5132          | 0.9034   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ae7552318c352d530a22157e5847c6799a585cccfaabe28ac74952140020895
+oid sha256:441e5119289212e7c73b2a6966373e8f7f806e9a651260a471ad3e5b9d91a4e0
 size 439731228