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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: nan
+- Loss: 2.5951
 
 ## Model description
 
@@ -40,14 +40,16 @@ 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: 2
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 3.01          | 1.0   | 500  | nan             |
-| 0.0           | 2.0   | 1000 | nan             |
+| 2.919         | 1.0   | 500  | 2.7483          |
+| 2.5908        | 2.0   | 1000 | 2.6242          |
+| 2.4165        | 3.0   | 1500 | 2.5845          |
+| 2.2776        | 4.0   | 2000 | 2.5951          |
 
 
 ### Framework versions

runs/Jun25_15-46-13_d04060a4a595/events.out.tfevents.1719332175.d04060a4a595.558.0

@@ -1,3 +1,3 @@
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+size 7030