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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6522
+- Loss: 1.6052
 
 ## Model description
 
@@ -40,15 +40,17 @@ 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: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 250  | 2.3654          |
-| 2.7132        | 2.0   | 500  | 1.7418          |
-| 2.7132        | 3.0   | 750  | 1.6522          |
+| No log        | 1.0   | 300  | 2.1368          |
+| 2.6811        | 2.0   | 600  | 1.6110          |
+| 2.6811        | 3.0   | 900  | 1.5197          |
+| 1.2127        | 4.0   | 1200 | 1.5621          |
+| 0.8509        | 5.0   | 1500 | 1.6052          |
 
 
 ### Framework versions

runs/Mar26_21-00-21_Asus/events.out.tfevents.1711486821.Asus.7228.0

@@ -1,3 +1,3 @@
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-size 6148
+oid sha256:2b012f08870338d9fdb09da4cbe480c0aade79d088d583eb6482b45df9003d8e
+size 6773