update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Rouge1
       type: rouge
-      value: 0.2967
+      value: 0.3484
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the scitldr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.1243
-- Rouge1: 0.2967
-- Rouge2: 0.1277
-- Rougel: 0.2457
-- Rougelsum: 0.2602
+- Loss: 2.8631
+- Rouge1: 0.3484
+- Rouge2: 0.1596
+- Rougel: 0.2971
+- Rougelsum: 0.3047
 
 ## Model description
 
@@ -54,7 +54,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5.6e-05
+- learning_rate: 0.0001
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 2.9845        | 1.0   | 63   | 3.2358          | 0.288  | 0.1219 | 0.238  | 0.2522    |
-| 2.7469        | 2.0   | 126  | 3.1815          | 0.2922 | 0.1251 | 0.2415 | 0.2562    |
-| 2.7032        | 3.0   | 189  | 3.1564          | 0.2991 | 0.1303 | 0.2474 | 0.2619    |
-| 2.6479        | 4.0   | 252  | 3.1354          | 0.2973 | 0.1282 | 0.2457 | 0.2608    |
-| 2.6303        | 5.0   | 315  | 3.1297          | 0.2964 | 0.1272 | 0.2451 | 0.2598    |
-| 2.6115        | 6.0   | 378  | 3.1243          | 0.2967 | 0.1277 | 0.2457 | 0.2602    |
-| 2.5704        | 7.0   | 441  | 3.1264          | 0.2967 | 0.127  | 0.2453 | 0.26      |
-| 2.6028        | 8.0   | 504  | 3.1252          | 0.2971 | 0.1275 | 0.2456 | 0.2604    |
+| 3.0545        | 1.0   | 63   | 2.9939          | 0.3387 | 0.1538 | 0.2887 | 0.2957    |
+| 2.7871        | 2.0   | 126  | 2.9360          | 0.3448 | 0.1577 | 0.2947 | 0.3019    |
+| 2.7188        | 3.0   | 189  | 2.8977          | 0.3477 | 0.1585 | 0.2967 | 0.3035    |
+| 2.6493        | 4.0   | 252  | 2.8837          | 0.3488 | 0.1597 | 0.2973 | 0.3046    |
+| 2.6207        | 5.0   | 315  | 2.8690          | 0.3472 | 0.1566 | 0.2958 | 0.3033    |
+| 2.5893        | 6.0   | 378  | 2.8668          | 0.3493 | 0.1592 | 0.2972 | 0.305     |
+| 2.5494        | 7.0   | 441  | 2.8657          | 0.3486 | 0.1595 | 0.2976 | 0.3053    |
+| 2.5554        | 8.0   | 504  | 2.8631          | 0.3484 | 0.1596 | 0.2971 | 0.3047    |
 
 
 ### Framework versions