update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: t5-small-finetuned-bbc
   results: []
@@ -13,6 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-bbc
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3238
+- Rouge1: 21.2266
+- Rouge2: 16.0927
+- Rougel: 19.6785
+- Rougelsum: 19.8849
+- Gen Len: 19.0
 
 ## Model description
 
@@ -32,23 +41,24 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 12
-- eval_batch_size: 12
+- train_batch_size: 2
+- eval_batch_size: 2
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 167  | 0.6722          | 19.4359 | 13.8329 | 17.9079 | 18.091    | 19.0    |
+| 0.4882        | 1.0   | 1001 | 0.3238          | 21.2266 | 16.0927 | 19.6785 | 19.8849   | 19.0    |
 
 
 ### Framework versions
 
-- Transformers 4.11.3
-- Pytorch 1.9.1
-- Datasets 1.12.1
+- Transformers 4.12.0
+- Pytorch 1.10.0
+- Datasets 1.14.0
 - Tokenizers 0.10.3