End of training

README.md

@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ingeniumacademy/bart-cnn-samsum-finetuned](https://huggingface.co/ingeniumacademy/bart-cnn-samsum-finetuned) on the samsum dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2544
+- Loss: 0.2259
 
 ## Model description
 
@@ -42,13 +42,17 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 1
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 0.0769        | 1.0   | 74   | 0.2544          |
+| 0.0766        | 1.0   | 74   | 0.2375          |
+| 0.0976        | 2.0   | 148  | 0.2499          |
+| 0.0684        | 3.0   | 222  | 0.2361          |
+| 0.085         | 4.0   | 296  | 0.2273          |
+| 0.0898        | 5.0   | 370  | 0.2259          |
 
 
 ### Framework versions

adapter_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d8fec41d620e24afe18a0997fa5e827e83a11c177c7302d31e7c00d48a4001f1
+oid sha256:296a3760f11fbb28bdae34a6f3d32438210bfd8bdc671af1e1ef84f5eb081216
 size 18927117

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2590b88e80ce2046439a7ff22513dcc2a353bbcac3e43290e2ee3cc18d01bb73
+oid sha256:764892d477e05d8518acbe79d09ab1449f98bf0df54f3f33bd5e0402781b9c23
 size 4091