End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.4826
-- Bertscore F1: 0.4679
+- Loss: 1.4065
+- Bertscore F1: 0.5611
 
 ## Model description
 
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Bertscore F1 |
 |:-------------:|:-----:|:----:|:---------------:|:------------:|
-| 14.8095       | 1.0   | 11   | 13.0734         | 0.4820       |
-| 12.1158       | 2.0   | 22   | 10.0889         | 0.4679       |
-| 10.3546       | 3.0   | 33   | 8.1071          | 0.4679       |
-| 9.155         | 4.0   | 44   | 6.9150          | 0.4679       |
-| 8.5543        | 5.0   | 55   | 6.4826          | 0.4679       |
+| 2.2103        | 1.0   | 1812 | 1.5514          | 0.5411       |
+| 1.6263        | 2.0   | 3624 | 1.4763          | 0.5597       |
+| 1.5692        | 3.0   | 5436 | 1.4771          | 0.5568       |
+| 1.5387        | 4.0   | 7248 | 1.3831          | 0.5529       |
+| 1.5249        | 5.0   | 9060 | 1.4065          | 0.5611       |
 
 
 ### Framework versions