update model card README.md

README.md

@@ -1,8 +1,10 @@
 ---
 license: apache-2.0
-base_model: t5-large
+base_model: t5-small
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: T5_on_pubmed
   results: []
@@ -13,7 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 # T5_on_pubmed
 
-This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
+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: 2.1788
+- Rouge1: 0.1346
+- Rouge2: 0.0564
+- Rougel: 0.1145
+- Rougelsum: 0.1146
+- Gen Len: 19.0
 
 ## Model description
 
@@ -33,12 +42,22 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 1
-- eval_batch_size: 1
+- train_batch_size: 5
+- eval_batch_size: 5
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 0
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 200  | 2.1954          | 0.1365 | 0.0565 | 0.1151 | 0.1151    | 19.0    |
+| No log        | 2.0   | 400  | 2.1878          | 0.1353 | 0.0561 | 0.1142 | 0.1144    | 19.0    |
+| 2.4795        | 3.0   | 600  | 2.1798          | 0.1349 | 0.0564 | 0.1145 | 0.1146    | 19.0    |
+| 2.4795        | 4.0   | 800  | 2.1788          | 0.1346 | 0.0564 | 0.1145 | 0.1146    | 19.0    |
+
 
 ### Framework versions