Model save

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1538
-- Rouge1: 53.2487
-- Rouge2: 38.8678
-- Rougel: 42.9164
-- Rougelsum: 42.8185
+- Loss: 0.1209
+- Rouge1: 55.1221
+- Rouge2: 41.5118
+- Rougel: 44.1055
+- Rougelsum: 44.1111
 
 ## Model description
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 0.6973        | 1.0   | 40   | 0.2792          | 44.607  | 28.2305 | 32.7363 | 32.689    |
-| 0.2634        | 2.0   | 80   | 0.2542          | 44.9628 | 28.6393 | 35.5185 | 35.5316   |
-| 0.237         | 3.0   | 120  | 0.2347          | 48.3923 | 32.1964 | 37.0858 | 37.0633   |
-| 0.2241        | 4.0   | 160  | 0.2234          | 50.2514 | 34.1207 | 38.6719 | 38.6132   |
-| 0.2011        | 5.0   | 200  | 0.2091          | 52.4212 | 36.8234 | 40.958  | 40.9959   |
-| 0.2045        | 6.0   | 240  | 0.1958          | 52.1925 | 37.8449 | 42.6498 | 42.6355   |
-| 0.1797        | 7.0   | 280  | 0.1806          | 53.0427 | 38.3417 | 41.5969 | 41.5104   |
-| 0.1746        | 8.0   | 320  | 0.1701          | 53.1042 | 38.8772 | 43.3092 | 43.2253   |
-| 0.162         | 9.0   | 360  | 0.1620          | 52.5124 | 38.3429 | 42.1167 | 42.0158   |
-| 0.1471        | 10.0  | 400  | 0.1538          | 53.2487 | 38.8678 | 42.9164 | 42.8185   |
+| 0.6833        | 1.0   | 40   | 0.2361          | 49.6521 | 32.0116 | 37.6798 | 37.6414   |
+| 0.2662        | 2.0   | 80   | 0.2113          | 51.0105 | 34.9383 | 38.5987 | 38.7128   |
+| 0.2372        | 3.0   | 120  | 0.1899          | 49.9708 | 34.1358 | 39.2319 | 39.256    |
+| 0.2295        | 4.0   | 160  | 0.1781          | 52.0623 | 36.7753 | 39.7153 | 39.7944   |
+| 0.2022        | 5.0   | 200  | 0.1613          | 53.525  | 37.8889 | 42.8148 | 42.8252   |
+| 0.204         | 6.0   | 240  | 0.1561          | 54.6369 | 39.0632 | 42.0898 | 42.0239   |
+| 0.1801        | 7.0   | 280  | 0.1409          | 54.6083 | 39.9751 | 43.8491 | 43.8897   |
+| 0.175         | 8.0   | 320  | 0.1329          | 54.9258 | 40.6335 | 44.7135 | 44.6887   |
+| 0.1715        | 9.0   | 360  | 0.1331          | 56.8449 | 41.313  | 43.4297 | 43.56     |
+| 0.1551        | 10.0  | 400  | 0.1209          | 55.1221 | 41.5118 | 44.1055 | 44.1111   |
 
 
 ### Framework versions

model.safetensors

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runs/May01_17-21-42_nuidfk4p7b/events.out.tfevents.1714584254.nuidfk4p7b.285.0

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runs/May01_17-21-42_nuidfk4p7b/events.out.tfevents.1714585808.nuidfk4p7b.285.1

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training_args.bin

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