End of training

README.md

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9616
-- Exact Match: 0.4925
-- F1: 0.5963
+- Loss: 2.1310
+- Exact Match: 0.4978
+- F1: 0.6128
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
-| 0.7001        | 1.0   | 3097  | 1.2355          | 0.4420      | 0.5752 |
-| 0.5383        | 2.0   | 6194  | 1.4327          | 0.4784      | 0.5984 |
-| 0.4088        | 3.0   | 9291  | 1.6247          | 0.4762      | 0.5947 |
-| 0.282         | 4.0   | 12388 | 1.6999          | 0.4895      | 0.5986 |
-| 0.2361        | 5.0   | 15485 | 1.9616          | 0.4925      | 0.5963 |
+| 0.7262        | 1.0   | 3182  | 1.2386          | 0.4634      | 0.5997 |
+| 0.5564        | 2.0   | 6364  | 1.3796          | 0.4868      | 0.6083 |
+| 0.4338        | 3.0   | 9546  | 1.5470          | 0.4864      | 0.6109 |
+| 0.3148        | 4.0   | 12728 | 1.8582          | 0.5041      | 0.6141 |
+| 0.2554        | 5.0   | 15910 | 2.1310          | 0.4978      | 0.6128 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:71c21a4587f209dd4a1120908e487796a0d08e2b4ee51e001539b2d48eeb188f
+oid sha256:693b2f7a549fab7e3320c738d1323b3c5e546be0480c11c107dba11b7d85d63c
 size 1112905680