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: 1.6254
+- Loss: 1.6273
 
 ## 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  | 2.2933          |
-| 2.7382        | 2.0   | 500  | 1.7107          |
-| 2.7382        | 3.0   | 750  | 1.6254          |
+| No log        | 1.0   | 300  | 2.0632          |
+| 2.6266        | 2.0   | 600  | 1.6360          |
+| 2.6266        | 3.0   | 900  | 1.5878          |
+| 1.1835        | 4.0   | 1200 | 1.5808          |
+| 0.8248        | 5.0   | 1500 | 1.6273          |
 
 
 ### Framework versions

runs/Mar24_22-30-00_Asus/events.out.tfevents.1711319400.Asus.18800.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 6148
+oid sha256:b2081ebc6ae571ad53475a82ea69552d7c4a2b90c0865e8d180566b43ed0c73e
+size 6773