RohanHBTU
/

bart-large-finetuned-question-to-answer

@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3715
-- Bleu: 33.0345
-- Gen Len: 18.7967
 ## Model description
@@ -51,21 +51,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 2.7764        | 1.0   | 516  | 1.6543          | 18.7782 | 19.48   |
-| 2.146         | 2.0   | 1032 | 1.3654          | 20.903  | 18.7367 |
-| 1.8588        | 3.0   | 1548 | 1.1539          | 23.3646 | 19.1067 |
-| 1.6513        | 4.0   | 2064 | 0.9755          | 23.4902 | 19.3267 |
-| 1.492         | 5.0   | 2580 | 0.8703          | 25.5851 | 19.2067 |
-| 1.3272        | 6.0   | 3096 | 0.7595          | 25.3403 | 18.95   |
-| 1.2287        | 7.0   | 3612 | 0.6719          | 26.9343 | 19.21   |
-| 1.1248        | 8.0   | 4128 | 0.6046          | 27.8768 | 19.24   |
-| 1.0318        | 9.0   | 4644 | 0.5496          | 29.6378 | 18.89   |
-| 0.9651        | 10.0  | 5160 | 0.4849          | 31.2889 | 18.9967 |
-| 0.8987        | 11.0  | 5676 | 0.4418          | 30.9236 | 18.9167 |
-| 0.8442        | 12.0  | 6192 | 0.4151          | 31.9543 | 18.8    |
-| 0.8042        | 13.0  | 6708 | 0.3917          | 32.7293 | 18.8533 |
-| 0.7682        | 14.0  | 7224 | 0.3777          | 32.463  | 18.85   |
-| 0.7435        | 15.0  | 7740 | 0.3715          | 33.0345 | 18.7967 |
 ### Framework versions

 This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.1153
+- Bleu: 42.8973
+- Gen Len: 18.69
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.8366        | 1.0   | 516  | 0.3882          | 32.192  | 18.8467 |
+| 0.7567        | 2.0   | 1032 | 0.3263          | 34.6627 | 18.8333 |
+| 0.6634        | 3.0   | 1548 | 0.2838          | 34.3455 | 18.8567 |
+| 0.587         | 4.0   | 2064 | 0.2207          | 37.4365 | 18.8467 |
+| 0.5178        | 5.0   | 2580 | 0.2778          | 36.1141 | 19.2267 |
+| 0.4555        | 6.0   | 3096 | 0.1872          | 39.1633 | 18.6967 |
+| 0.4137        | 7.0   | 3612 | 0.1854          | 39.3042 | 18.98   |
+| 0.3672        | 8.0   | 4128 | 0.1543          | 40.8359 | 18.68   |
+| 0.331         | 9.0   | 4644 | 0.1548          | 41.0895 | 18.54   |
+| 0.3056        | 10.0  | 5160 | 0.1599          | 42.3384 | 18.6767 |
+| 0.2762        | 11.0  | 5676 | 0.1508          | 41.1395 | 18.8167 |
+| 0.2533        | 12.0  | 6192 | 0.1224          | 42.1233 | 18.7033 |
+| 0.2332        | 13.0  | 6708 | 0.1195          | 42.8086 | 18.6967 |
+| 0.2209        | 14.0  | 7224 | 0.1158          | 43.0663 | 18.72   |
+| 0.21          | 15.0  | 7740 | 0.1153          | 42.8973 | 18.69   |
 ### Framework versions

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