update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: t5-small-finetuned-pubmed
   results: []
@@ -16,12 +14,15 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9754
-- Rouge1: 36.7213
-- Rouge2: 18.6627
-- Rougel: 32.3932
-- Rougelsum: 32.6819
-- Gen Len: 16.9326
+- eval_loss: 1.8403
+- eval_rouge2_precision: 0.298
+- eval_rouge2_recall: 0.1943
+- eval_rouge2_fmeasure: 0.2198
+- eval_runtime: 4.1041
+- eval_samples_per_second: 43.372
+- eval_steps_per_second: 2.924
+- epoch: 5.0
+- step: 500
 
 ## Model description
 
@@ -46,20 +47,9 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 5
+- num_epochs: 15
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 100  | 2.1324          | 29.4167 | 13.5345 | 25.6588 | 25.8099   | 17.8596 |
-| No log        | 2.0   | 200  | 2.0319          | 34.0176 | 16.285  | 29.3676 | 29.5428   | 17.1966 |
-| No log        | 3.0   | 300  | 1.9969          | 35.0555 | 17.1712 | 30.7931 | 30.9756   | 16.8989 |
-| No log        | 4.0   | 400  | 1.9802          | 35.997  | 17.979  | 31.8043 | 32.1127   | 16.8539 |
-| 2.1897        | 5.0   | 500  | 1.9754          | 36.7213 | 18.6627 | 32.3932 | 32.6819   | 16.9326 |
-
-
 ### Framework versions
 
 - Transformers 4.12.2