End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-large](https://huggingface.co/microsoft/deberta-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.7527
+- Loss: 1.7614
 - Accuracy: 0.205
 
 ## Model description
@@ -37,7 +37,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 3e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -49,12 +49,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.7337        | 50.0  | 5000  | 1.7495          | 0.255    |
-| 1.728         | 100.0 | 10000 | 1.7511          | 0.205    |
-| 1.7218        | 150.0 | 15000 | 1.7410          | 0.255    |
-| 1.7259        | 200.0 | 20000 | 1.7513          | 0.205    |
-| 1.727         | 250.0 | 25000 | 1.7506          | 0.255    |
-| 1.7228        | 300.0 | 30000 | 1.7527          | 0.205    |
+| 1.7304        | 50.0  | 5000  | 1.7493          | 0.255    |
+| 1.7282        | 100.0 | 10000 | 1.7495          | 0.205    |
+| 1.7196        | 150.0 | 15000 | 1.7457          | 0.255    |
+| 1.7107        | 200.0 | 20000 | 1.7462          | 0.255    |
+| 1.7107        | 250.0 | 25000 | 1.7666          | 0.205    |
+| 1.6992        | 300.0 | 30000 | 1.7614          | 0.205    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca283a973a1147bde48e9e6e394b8f69f60d0e9168c6d9b508e99af2f5ff795a
 size 1625010477