update model card README.md

README.md

@@ -16,11 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.5684
-- Rouge1: 0.4309
-- Rouge2: 0.1341
-- Rougel: 0.2206
-- Rougelsum: 0.2209
+- Loss: 2.2428
+- Rouge1: 0.4562
+- Rouge2: 0.1529
+- Rougel: 0.2402
+- Rougelsum: 0.2401
 
 ## Model description
 
@@ -50,6 +50,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 2.4777        | 0.14  | 1000 | 2.3948          | 0.4284 | 0.1431 | 0.2336 | 0.2336    |
+| 2.3863        | 0.27  | 2000 | 2.3211          | 0.4455 | 0.1496 | 0.2380 | 0.2379    |
+| 2.3509        | 0.41  | 3000 | 2.2809          | 0.4521 | 0.1521 | 0.2406 | 0.2406    |
+| 2.3063        | 0.55  | 4000 | 2.2428          | 0.4562 | 0.1529 | 0.2402 | 0.2401    |
+| 2.2754        | 0.69  | 5000 | 2.2222          | 0.4491 | 0.1506 | 0.2393 | 0.2393    |
+| 2.268         | 0.82  | 6000 | 2.2113          | 0.4499 | 0.1519 | 0.2406 | 0.2405    |
+| 2.2594        | 0.96  | 7000 | 2.1892          | 0.4519 | 0.1515 | 0.2390 | 0.2391    |
 
 
 ### Framework versions