update model card README.md

README.md

@@ -2,6 +2,8 @@
 license: mit
 tags:
 - generated_from_trainer
+metrics:
+- rouge
 model-index:
 - name: results
   results: []
@@ -13,6 +15,13 @@ should probably proofread and complete it, then remove this comment. -->
 # results
 
 This model is a fine-tuned version of [gagan3012/k2t](https://huggingface.co/gagan3012/k2t) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5481
+- Rouge1: 65.0534
+- Rouge2: 45.7092
+- Rougel: 55.8222
+- Rougelsum: 57.1866
+- Gen Len: 17.8061
 
 ## Model description
 
@@ -37,13 +46,15 @@ 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: 1
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
-| No log        | 1.0   | 4    | 0.5771          | 64.8908 | 45.4389 | 57.3295 | 58.0193   | 17.72   |
+| 0.5049        | 1.0   | 1101 | 0.5527          | 65.0475 | 45.6298 | 55.8323 | 57.2102   | 17.7929 |
+| 0.4994        | 2.0   | 2202 | 0.5490          | 65.0567 | 45.7082 | 55.8808 | 57.2343   | 17.8005 |
+| 0.4969        | 3.0   | 3303 | 0.5481          | 65.0534 | 45.7092 | 55.8222 | 57.1866   | 17.8061 |
 
 
 ### Framework versions