training completed[prod]:pegasus-extractive-500

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/pegasus-xsum](https://huggingface.co/google/pegasus-xsum) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0569
+- Loss: 1.1536
 
 ## Model description
 
@@ -46,28 +46,28 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 0.09  | 250  | 4.5676          |
-| 4.9309        | 0.18  | 500  | 4.1409          |
-| 4.9309        | 0.27  | 750  | 1.9459          |
-| 2.7387        | 0.35  | 1000 | 1.1953          |
-| 2.7387        | 0.44  | 1250 | 1.1557          |
-| 1.3603        | 0.53  | 1500 | 1.1350          |
-| 1.3603        | 0.62  | 1750 | 1.1189          |
-| 1.2237        | 0.71  | 2000 | 1.1092          |
-| 1.2237        | 0.8   | 2250 | 1.0976          |
-| 1.2113        | 0.89  | 2500 | 1.0931          |
-| 1.2113        | 0.98  | 2750 | 1.0854          |
-| 1.2057        | 1.06  | 3000 | 1.0787          |
-| 1.2057        | 1.15  | 3250 | 1.0759          |
-| 1.1613        | 1.24  | 3500 | 1.0714          |
-| 1.1613        | 1.33  | 3750 | 1.0680          |
-| 1.1379        | 1.42  | 4000 | 1.0662          |
-| 1.1379        | 1.51  | 4250 | 1.0634          |
-| 1.163         | 1.6   | 4500 | 1.0622          |
-| 1.163         | 1.68  | 4750 | 1.0600          |
-| 1.1271        | 1.77  | 5000 | 1.0587          |
-| 1.1271        | 1.86  | 5250 | 1.0574          |
-| 1.1358        | 1.95  | 5500 | 1.0569          |
+| No log        | 0.09  | 250  | 4.6880          |
+| 5.0042        | 0.18  | 500  | 4.2185          |
+| 5.0042        | 0.27  | 750  | 1.6267          |
+| 2.6655        | 0.35  | 1000 | 1.2804          |
+| 2.6655        | 0.44  | 1250 | 1.2502          |
+| 1.4309        | 0.53  | 1500 | 1.2319          |
+| 1.4309        | 0.62  | 1750 | 1.2174          |
+| 1.3166        | 0.71  | 2000 | 1.2072          |
+| 1.3166        | 0.8   | 2250 | 1.1978          |
+| 1.2982        | 0.89  | 2500 | 1.1904          |
+| 1.2982        | 0.98  | 2750 | 1.1829          |
+| 1.3028        | 1.06  | 3000 | 1.1765          |
+| 1.3028        | 1.15  | 3250 | 1.1727          |
+| 1.2443        | 1.24  | 3500 | 1.1685          |
+| 1.2443        | 1.33  | 3750 | 1.1652          |
+| 1.2306        | 1.42  | 4000 | 1.1632          |
+| 1.2306        | 1.51  | 4250 | 1.1600          |
+| 1.2533        | 1.6   | 4500 | 1.1586          |
+| 1.2533        | 1.68  | 4750 | 1.1562          |
+| 1.2127        | 1.77  | 5000 | 1.1550          |
+| 1.2127        | 1.86  | 5250 | 1.1544          |
+| 1.2235        | 1.95  | 5500 | 1.1536          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:230cd099c1c18b17272ca5748e1982e28208635653150d8edfaa2cc8978a7906
+oid sha256:adb3167a860e707f166826de98fe61c6f09390418fe411bc033c774f6cdfc4fd
 size 2279458540

runs/Mar22_21-49-42_b75ff5dae225/events.out.tfevents.1711144192.b75ff5dae225.683.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fed79d9f0977d812899b80b6c74d7e46a67f9b28ee69b3658464b0fb4ccf2d7
-size 11526
+oid sha256:e3dbf0ae6bd97a862dbfd65be9b90fee205871309cea9ac97fe650c722ac968a
+size 14139