End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2843
-- F1: 0.0768
+- Loss: 0.6999
+- F1: 0.8264
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.0002
 - train_batch_size: 32
 - eval_batch_size: 16
 - seed: 42
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.0662        | 1.0   | 313  | 3.9628          | 0.0054 |
-| 3.7198        | 2.0   | 626  | 3.6701          | 0.0314 |
-| 3.4852        | 3.0   | 939  | 3.4462          | 0.0537 |
-| 3.3495        | 4.0   | 1252 | 3.3261          | 0.0718 |
-| 3.2824        | 5.0   | 1565 | 3.2843          | 0.0768 |
+| 2.3431        | 1.0   | 313  | 2.1174          | 0.3925 |
+| 1.3737        | 2.0   | 626  | 1.2632          | 0.6508 |
+| 0.9534        | 3.0   | 939  | 0.9034          | 0.7581 |
+| 0.7365        | 4.0   | 1252 | 0.7530          | 0.8130 |
+| 0.6526        | 5.0   | 1565 | 0.6999          | 0.8264 |
 
 
 ### Framework versions

runs/Feb26_20-50-13_modal/events.out.tfevents.1740603015.modal.2.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 18257
+oid sha256:3a228e447cab307171b1cc5fdd9559e70f3a46e2e9518260237ef449f640f579
+size 18928