my-classifier

README.md

@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5412
+- Loss: 1.1931
 
 ## Model description
 
@@ -47,11 +47,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.615         | 0.16  | 20   | 1.6139          |
-| 1.6229        | 0.32  | 40   | 1.6086          |
-| 1.5605        | 0.48  | 60   | 1.5892          |
-| 1.4847        | 0.64  | 80   | 1.5711          |
-| 1.5626        | 0.8   | 100  | 1.5412          |
+| 1.7512        | 0.16  | 20   | 1.6230          |
+| 1.5889        | 0.32  | 40   | 1.5768          |
+| 1.405         | 0.48  | 60   | 1.4315          |
+| 1.4985        | 0.64  | 80   | 1.3309          |
+| 1.4124        | 0.8   | 100  | 1.1931          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 433279996

training_args.bin

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 size 5240