End of training

README.md

@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1614
-- Precision: 0.6101
-- Recall: 0.6414
-- F1: 0.6254
+- Loss: 0.3498
+- Precision: 0.5939
+- Recall: 0.5605
+- F1: 0.5767
 
 ## Model description
 
@@ -53,9 +53,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
-| No log        | 1.0   | 302  | 0.1118          | 0.6213    | 0.4303 | 0.5085 |
-| 0.1039        | 2.0   | 604  | 0.1406          | 0.6480    | 0.5338 | 0.5854 |
-| 0.1039        | 3.0   | 906  | 0.1614          | 0.6101    | 0.6414 | 0.6254 |
+| No log        | 1.0   | 302  | 0.2395          | 0.5539    | 0.5420 | 0.5479 |
+| 0.2014        | 2.0   | 604  | 0.3445          | 0.6157    | 0.4990 | 0.5512 |
+| 0.2014        | 3.0   | 906  | 0.3498          | 0.5939    | 0.5605 | 0.5767 |
 
 
 ### Framework versions

model.safetensors

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runs/May21_14-56-19_106c40bf8134/events.out.tfevents.1716303381.106c40bf8134.357.13

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