update model card README.md

README.md

@@ -3,20 +3,11 @@ license: apache-2.0
 tags:
 - summarization
 - generated_from_trainer
-datasets:
-- null
 metrics:
 - rouge
 model-index:
 - name: mt5-small-finetuned-amazon-en-es
-  results:
-  - task:
-      name: Sequence-to-sequence Language Modeling
-      type: text2text-generation
-    metrics:
-    - name: Rouge1
-      type: rouge
-      value: 12.4927
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,12 +17,12 @@ 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: 2.9894
-- Rouge1: 12.4927
-- Rouge2: 4.847
-- Rougel: 12.4387
-- Rougelsum: 12.4383
-- Gen Len: 6.1675
+- Loss: 2.5050
+- Rouge1: 16.471
+- Rouge2: 9.6857
+- Rougel: 16.1028
+- Rougelsum: 16.1929
+- Gen Len: 7.4538
 
 ## Model description
 
@@ -50,7 +41,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 4e-05
+- learning_rate: 8e-05
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
@@ -60,21 +51,21 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
-| 6.5619        | 1.0   | 2202  | 3.2749          | 9.2423  | 3.2813 | 9.2013  | 9.1698    | 5.0354  |
-| 3.8525        | 2.0   | 4404  | 3.1296          | 11.1883 | 4.047  | 11.1545 | 11.1885   | 6.4033  |
-| 3.5419        | 3.0   | 6606  | 3.0478          | 11.4905 | 4.4465 | 11.3538 | 11.3805   | 6.6462  |
-| 3.4045        | 4.0   | 8808  | 3.0174          | 11.5798 | 4.4426 | 11.5372 | 11.571    | 6.6816  |
-| 3.3091        | 5.0   | 11010 | 3.0080          | 12.0207 | 4.5622 | 11.9232 | 11.9476   | 6.4976  |
-| 3.2457        | 6.0   | 13212 | 2.9981          | 12.2459 | 4.6924 | 12.2306 | 12.2375   | 6.1533  |
-| 3.2179        | 7.0   | 15414 | 2.9943          | 12.3927 | 4.6072 | 12.2888 | 12.2848   | 6.3561  |
-| 3.1898        | 8.0   | 17616 | 2.9894          | 12.4927 | 4.847  | 12.4387 | 12.4383   | 6.1675  |
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 5.9093        | 1.0   | 1209 | 2.8536          | 9.0682  | 7.3025  | 8.7377  | 8.88      | 3.5504  |
+| 3.2481        | 2.0   | 2418 | 2.6507          | 16.3535 | 11.0792 | 16.0699 | 16.135    | 7.1387  |
+| 2.9617        | 3.0   | 3627 | 2.5843          | 15.2778 | 9.4619  | 15.0177 | 15.0804   | 7.4118  |
+| 2.8128        | 4.0   | 4836 | 2.5501          | 15.9292 | 9.3908  | 15.6132 | 15.6424   | 7.9286  |
+| 2.7324        | 5.0   | 6045 | 2.5321          | 16.1222 | 9.0046  | 15.7392 | 15.813    | 8.1471  |
+| 2.6572        | 6.0   | 7254 | 2.5073          | 17.4735 | 10.8534 | 17.0458 | 17.0905   | 6.9538  |
+| 2.6118        | 7.0   | 8463 | 2.5132          | 16.6198 | 9.8078  | 16.2883 | 16.3328   | 7.2605  |
+| 2.5818        | 8.0   | 9672 | 2.5050          | 16.471  | 9.6857  | 16.1028 | 16.1929   | 7.4538  |
 
 
 ### Framework versions
 
-- Transformers 4.10.3
+- Transformers 4.12.0.dev0
 - Pytorch 1.9.1+cu111
-- Datasets 1.12.1
+- Datasets 1.12.2.dev0
 - Tokenizers 0.10.3