End of training

README.md

@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bobbyw/deberta-v3-large_v3_no_entities_with_context](https://huggingface.co/bobbyw/deberta-v3-large_v3_no_entities_with_context) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0268
+- Loss: 0.0269
 - Accuracy: 0.0048
 - F1: 0.0095
 - Precision: 0.0048
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 5e-06
 - train_batch_size: 3
 - eval_batch_size: 3
 - seed: 42
@@ -56,10 +56,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
-| 0.0268        | 1.0   | 686  | 0.0268          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0000 |
-| 0.0276        | 2.0   | 1372 | 0.0269          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 5e-06  |
-| 0.0271        | 3.0   | 2058 | 0.0268          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0000 |
-| 0.0261        | 4.0   | 2744 | 0.0268          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0    |
+| 0.0264        | 1.0   | 686  | 0.0268          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0000 |
+| 0.0274        | 2.0   | 1372 | 0.0269          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0000 |
+| 0.027         | 3.0   | 2058 | 0.0269          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0000 |
+| 0.0261        | 4.0   | 2744 | 0.0269          | 0.0048   | 0.0095 | 0.0048    | 1.0    | 0.0    |
 
 
 ### Framework versions