bart_summarisation

README.md

@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MeetK/bart_summarisation](https://huggingface.co/MeetK/bart_summarisation) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8883
-- Rouge1: 0.3141
-- Rouge2: 0.1149
-- Rougel: 0.2245
-- Rougelsum: 0.2242
-- Gen Len: 65.948
+- Loss: 1.8869
+- Rouge1: 0.3126
+- Rouge2: 0.1129
+- Rougel: 0.2224
+- Rougelsum: 0.2223
+- Gen Len: 65.925
 
 ## Model description
 
@@ -53,8 +53,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| No log        | 1.0   | 313  | 1.8695          | 0.3125 | 0.1133 | 0.2222 | 0.222     | 65.591  |
-| 2.1067        | 2.0   | 626  | 1.8883          | 0.3141 | 0.1149 | 0.2245 | 0.2242    | 65.948  |
+| No log        | 1.0   | 313  | 1.8649          | 0.3111 | 0.1131 | 0.2226 | 0.2222    | 66.269  |
+| 2.0974        | 2.0   | 626  | 1.8869          | 0.3126 | 0.1129 | 0.2224 | 0.2223    | 65.925  |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b50b8ef1f799b288adbc8697487c1fe49eaafe32c35c4bc6c283f829333ae0ff
+oid sha256:e7216fe889f6a1aef4f378aea3dab3932d10f0806ad1f3261a2d8fdb44204192
 size 1625426996

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:31680f1e57cd436b9101f009e58607d523362f705637a09b5568d779d6cb8100
+oid sha256:e3a3ac22ac953e3e1937b1ae06d17eb3e100649ec20f2f4f3ae02f4854b0cd7e
 size 4728