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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3126
-- Accuracy: 0.9324
+- Loss: 0.2672
+- Accuracy: 0.9248
 
 ## Model description
 
@@ -44,16 +44,14 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2325        | 1.0   | 1563 | 0.2085          | 0.9216   |
-| 0.1586        | 2.0   | 3126 | 0.2300          | 0.9302   |
-| 0.0979        | 3.0   | 4689 | 0.2702          | 0.9345   |
-| 0.0448        | 4.0   | 6252 | 0.3126          | 0.9324   |
+| 0.2273        | 1.0   | 1407 | 0.2604          | 0.9072   |
+| 0.1445        | 2.0   | 2814 | 0.2672          | 0.9248   |
 
 
 ### Framework versions

model.safetensors

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runs/Nov05_16-46-42_ip-10-192-12-127/events.out.tfevents.1730825202.ip-10-192-12-127.1737.2

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