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: 1.8869
-- Rouge1: 0.3126
-- Rouge2: 0.1129
-- Rougel: 0.2224
-- Rougelsum: 0.2223
-- Gen Len: 65.925
+- Loss: 1.8662
+- Rouge1: 0.3202
+- Rouge2: 0.1186
+- Rougel: 0.2291
+- Rougelsum: 0.229
+- Gen Len: 63.321
 
 ## 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  | 1.8649          | 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  |
+| No log        | 1.0   | 313  | 1.8355          | 0.3173 | 0.1175 | 0.2289 | 0.2288    | 63.492  |
+| 1.5858        | 2.0   | 626  | 1.8662          | 0.3202 | 0.1186 | 0.2291 | 0.229     | 63.321  |
 
 
 ### Framework versions

model.safetensors

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