End of training

README.md

@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dicta-il/BEREL](https://huggingface.co/dicta-il/BEREL) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.9353
+- Loss: 1.5561
 
 ## Model description
 
@@ -40,17 +40,19 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 60   | 3.6171          |
-| No log        | 2.0   | 120  | 3.2939          |
-| No log        | 3.0   | 180  | 3.0947          |
-| No log        | 4.0   | 240  | 2.9765          |
-| No log        | 5.0   | 300  | 2.9353          |
+| No log        | 1.0   | 37   | 2.5131          |
+| No log        | 2.0   | 74   | 2.1557          |
+| No log        | 3.0   | 111  | 1.9236          |
+| No log        | 4.0   | 148  | 1.7455          |
+| No log        | 5.0   | 185  | 1.6608          |
+| No log        | 6.0   | 222  | 1.5844          |
+| No log        | 7.0   | 259  | 1.5561          |
 
 
 ### Framework versions

runs/Jul17_12-21-49_25e5f1c9369a/events.out.tfevents.1721225230.25e5f1c9369a.467.4

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+size 359