MattiaParavisi
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distilbert-base-uncased-finetuned-dob

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MattiaParavisi commited on Sep 27, 2023

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README.md +11 -11
pytorch_model.bin +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9434
 ## Model description
@@ -46,16 +46,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.2387        | 1.0   | 20   | 2.0358          |
-| 2.0972        | 2.0   | 40   | 1.9382          |
-| 2.0559        | 3.0   | 60   | 1.9954          |
-| 2.0337        | 4.0   | 80   | 1.9246          |
-| 2.0641        | 5.0   | 100  | 1.9015          |
-| 1.9227        | 6.0   | 120  | 1.8622          |
-| 2.0029        | 7.0   | 140  | 1.8752          |
-| 1.9743        | 8.0   | 160  | 1.9884          |
-| 1.9244        | 9.0   | 180  | 1.9013          |
-| 1.9124        | 10.0  | 200  | 1.9352          |
 ### Framework versions

 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.8912
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 2.2251        | 1.0   | 20   | 2.0593          |
+| 2.0566        | 2.0   | 40   | 1.9483          |
+| 2.036         | 3.0   | 60   | 1.9883          |
+| 1.9911        | 4.0   | 80   | 1.9605          |
+| 1.9979        | 5.0   | 100  | 1.9137          |
+| 1.9732        | 6.0   | 120  | 1.9082          |
+| 1.9752        | 7.0   | 140  | 1.8978          |
+| 1.9483        | 8.0   | 160  | 1.9038          |
+| 1.9443        | 9.0   | 180  | 1.8888          |
+| 1.9192        | 10.0  | 200  | 1.8806          |
 ### Framework versions

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