update model card README.md

README.md

@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4195
-- Rouge1: 41.1649
-- Rouge2: 26.6897
-- Rougel: 38.6827
-- Rougelsum: 38.7211
+- Loss: 1.2815
+- Rouge1: 44.0759
+- Rouge2: 29.0229
+- Rougel: 41.8945
+- Rougelsum: 41.801
 
 ## Model description
 
@@ -41,25 +41,27 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5.6e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 8
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
-| 11.4352       | 1.0   | 197  | 2.8914          | 17.5245 | 7.8088  | 16.1693 | 16.3      |
-| 3.8879        | 2.0   | 394  | 1.9620          | 27.778  | 15.9766 | 26.4282 | 26.4592   |
-| 2.9032        | 3.0   | 591  | 1.6604          | 36.4429 | 22.564  | 33.9982 | 34.0457   |
-| 2.5152        | 4.0   | 788  | 1.5417          | 37.6071 | 23.336  | 34.8967 | 35.0172   |
-| 2.3123        | 5.0   | 985  | 1.4804          | 39.5213 | 25.5211 | 36.7008 | 36.7353   |
-| 2.1949        | 6.0   | 1182 | 1.4492          | 40.2766 | 26.1253 | 37.4019 | 37.4424   |
-| 2.1209        | 7.0   | 1379 | 1.4239          | 41.408  | 26.9476 | 38.9706 | 38.9776   |
-| 2.1102        | 8.0   | 1576 | 1.4195          | 41.1649 | 26.6897 | 38.6827 | 38.7211   |
+| 10.2054       | 1.0   | 417  | 2.3095          | 19.097  | 8.5001  | 17.7548 | 17.7829   |
+| 3.1624        | 2.0   | 834  | 1.6965          | 30.9222 | 16.6468 | 28.3312 | 28.3229   |
+| 2.4529        | 3.0   | 1251 | 1.5142          | 34.9498 | 20.327  | 32.1027 | 32.0904   |
+| 2.19          | 4.0   | 1668 | 1.4286          | 40.0996 | 25.4238 | 38.1114 | 38.0192   |
+| 2.0096        | 5.0   | 2085 | 1.3853          | 42.2543 | 27.8126 | 40.5722 | 40.4353   |
+| 1.8849        | 6.0   | 2502 | 1.3377          | 42.9442 | 28.4625 | 41.1796 | 41.132    |
+| 1.8099        | 7.0   | 2919 | 1.3008          | 43.2106 | 28.327  | 41.3598 | 41.3596   |
+| 1.7495        | 8.0   | 3336 | 1.2961          | 43.1156 | 27.8989 | 40.9504 | 40.8745   |
+| 1.7354        | 9.0   | 3753 | 1.2817          | 44.3051 | 29.1231 | 42.13   | 42.0315   |
+| 1.6907        | 10.0  | 4170 | 1.2815          | 44.0759 | 29.0229 | 41.8945 | 41.801    |
 
 
 ### Framework versions