model tuned

README.md

@@ -17,7 +17,7 @@ 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 the mashqa_dataset dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2837
+- Loss: 1.3534
 
 ## Model description
 
@@ -48,10 +48,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.8868        | 1.0   | 657  | 1.4161          |
-| 1.4621        | 2.0   | 1314 | 1.2821          |
-| 1.3011        | 3.0   | 1971 | 1.2900          |
-| 1.0515        | 4.0   | 2628 | 1.2837          |
+| 1.8855        | 1.0   | 657  | 1.4604          |
+| 1.5008        | 2.0   | 1314 | 1.3525          |
+| 1.3467        | 3.0   | 1971 | 1.3253          |
+| 1.0881        | 4.0   | 2628 | 1.3534          |
 
 
 ### Framework versions

model.safetensors

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runs/Jun01_09-12-35_05819cd6df1f/events.out.tfevents.1717234117.05819cd6df1f.24.1

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training_args.bin

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