training completed[prod]: pegasus-abs2abs

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: 1.3239
+- Loss: 1.2285
 
 ## Model description
 
@@ -46,28 +46,25 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 0.09  | 250  | 4.8454          |
-| 5.1263        | 0.18  | 500  | 4.3790          |
-| 5.1263        | 0.27  | 750  | 2.1240          |
-| 2.9498        | 0.35  | 1000 | 1.4592          |
-| 2.9498        | 0.44  | 1250 | 1.4243          |
-| 1.5942        | 0.53  | 1500 | 1.4037          |
-| 1.5942        | 0.62  | 1750 | 1.3871          |
-| 1.4876        | 0.71  | 2000 | 1.3761          |
-| 1.4876        | 0.8   | 2250 | 1.3657          |
-| 1.4686        | 0.89  | 2500 | 1.3607          |
-| 1.4686        | 0.98  | 2750 | 1.3531          |
-| 1.4625        | 1.06  | 3000 | 1.3474          |
-| 1.4625        | 1.15  | 3250 | 1.3426          |
-| 1.4166        | 1.24  | 3500 | 1.3387          |
-| 1.4166        | 1.33  | 3750 | 1.3360          |
-| 1.3918        | 1.42  | 4000 | 1.3324          |
-| 1.3918        | 1.51  | 4250 | 1.3308          |
-| 1.4224        | 1.6   | 4500 | 1.3283          |
-| 1.4224        | 1.68  | 4750 | 1.3270          |
-| 1.3849        | 1.77  | 5000 | 1.3256          |
-| 1.3849        | 1.86  | 5250 | 1.3247          |
-| 1.4033        | 1.95  | 5500 | 1.3239          |
+| No log        | 0.09  | 250  | 4.6668          |
+| 4.9697        | 0.18  | 500  | 4.1227          |
+| 4.9697        | 0.27  | 750  | 1.4700          |
+| 2.5705        | 0.36  | 1000 | 1.2933          |
+| 2.5705        | 0.46  | 1250 | 1.2669          |
+| 1.4047        | 0.55  | 1500 | 1.2507          |
+| 1.4047        | 0.64  | 1750 | 1.2454          |
+| 1.3544        | 0.73  | 2000 | 1.2566          |
+| 1.3544        | 0.82  | 2250 | 1.2464          |
+| 1.342         | 0.91  | 2500 | 1.2393          |
+| 1.342         | 1.0   | 2750 | 1.2349          |
+| 1.3258        | 1.09  | 3000 | 1.2312          |
+| 1.3258        | 1.18  | 3250 | 1.2288          |
+| 1.3196        | 1.27  | 3500 | 1.2258          |
+| 1.3196        | 1.37  | 3750 | 1.2251          |
+| 1.3233        | 1.46  | 4000 | 1.2233          |
+| 1.3233        | 1.55  | 4250 | 1.2259          |
+| 1.2873        | 1.64  | 4500 | 1.2274          |
+| 1.2873        | 1.73  | 4750 | 1.2285          |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5b1aaf53babd1d4aac694d8e8c8b5e07b04059d051bb5683c387c9a340eaf112
+oid sha256:9b1cf47ba78fcb18424acbdda9714ac399045610dd12104c328c0d9699d2e5bf
 size 2279458540

runs/Mar29_22-28-21_af87dc254e48/events.out.tfevents.1711751315.af87dc254e48.369.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7d3cf8d3ae0a6e1af93b799d075e2d20ef6dbe66630361fa2f24e86c79287ed4
-size 10025
+oid sha256:ce2d610266a8d73c8d1d3776505b63cc6de1b4cfc853e21f12d3261ce9c0d7a7
+size 12909