End of training

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the ontonotes5 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0598
-- F1-type-match: 0.6780
-- F1-partial: 0.6872
-- F1-strict: 0.6565
-- F1-exact: 0.6729
+- Loss: 0.0776
+- F1-type-match: 0.9325
+- F1-partial: 0.9488
+- F1-strict: 0.9046
+- F1-exact: 0.9299
 
 ## Model description
 
@@ -54,9 +54,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1-type-match | F1-partial | F1-strict | F1-exact |
 |:-------------:|:-----:|:----:|:---------------:|:-------------:|:----------:|:---------:|:--------:|
-| 0.0738        | 1.0   | 936  | 0.0624          | 0.5568        | 0.5632     | 0.5322    | 0.5479   |
-| 0.0432        | 2.0   | 1873 | 0.0591          | 0.5773        | 0.5848     | 0.5559    | 0.5709   |
-| 0.0289        | 3.0   | 2808 | 0.0598          | 0.6780        | 0.6872     | 0.6565    | 0.6729   |
+| 0.0427        | 1.0   | 936  | 0.0674          | 0.9291        | 0.9452     | 0.8986    | 0.9246   |
+| 0.0235        | 2.0   | 1873 | 0.0722          | 0.9281        | 0.9464     | 0.9002    | 0.9275   |
+| 0.0148        | 3.0   | 2808 | 0.0776          | 0.9325        | 0.9488     | 0.9046    | 0.9299   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 735464404