End of training

README.md

@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ae-314/token_classification_wnut_model](https://huggingface.co/ae-314/token_classification_wnut_model) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2996
-- Precision: 0.5214
-- Recall: 0.3948
-- F1: 0.4494
-- Accuracy: 0.9458
+- Loss: 0.3087
+- Precision: 0.5206
+- Recall: 0.3985
+- F1: 0.4514
+- Accuracy: 0.9466
 
 ## Model description
 
@@ -44,7 +44,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -56,8 +56,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| No log        | 1.0   | 213  | 0.2914          | 0.4222    | 0.3976 | 0.4095 | 0.9424   |
-| No log        | 2.0   | 426  | 0.2996          | 0.5214    | 0.3948 | 0.4494 | 0.9458   |
+| No log        | 1.0   | 213  | 0.3128          | 0.4951    | 0.3744 | 0.4264 | 0.9452   |
+| No log        | 2.0   | 426  | 0.3087          | 0.5206    | 0.3985 | 0.4514 | 0.9466   |
 
 
 ### Framework versions