update model card README.md

README.md

@@ -5,14 +5,6 @@ tags:
 model-index:
 - name: flan-t5-end2end-question-generation
   results: []
-pipeline_tag: text2text-generation
-inference:
-  parameters:
-      max_length: 256
-      num_beams: 4
-      length_penalty: 1.5
-      no_repeat_ngram_size: 3
-      early_stopping: True
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -22,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6214
+- Loss: 1.5506
 
 ## Model description
 
@@ -55,16 +47,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.6935        | 0.68  | 100  | 1.9503          |
-| 2.0864        | 1.35  | 200  | 1.8105          |
-| 1.9497        | 2.03  | 300  | 1.7440          |
-| 1.8739        | 2.71  | 400  | 1.6970          |
-| 1.8173        | 3.39  | 500  | 1.6763          |
-| 1.7876        | 4.06  | 600  | 1.6613          |
-| 1.7596        | 4.74  | 700  | 1.6343          |
-| 1.7368        | 5.42  | 800  | 1.6326          |
-| 1.7225        | 6.1   | 900  | 1.6207          |
-| 1.7138        | 6.77  | 1000 | 1.6214          |
+| 2.6246        | 0.34  | 100  | 1.8376          |
+| 1.9742        | 0.68  | 200  | 1.7341          |
+| 1.8778        | 1.02  | 300  | 1.6817          |
+| 1.8245        | 1.35  | 400  | 1.6455          |
+| 1.7808        | 1.69  | 500  | 1.6298          |
+| 1.754         | 2.03  | 600  | 1.6213          |
+| 1.7226        | 2.37  | 700  | 1.6102          |
+| 1.7078        | 2.71  | 800  | 1.5914          |
+| 1.6953        | 3.05  | 900  | 1.5871          |
+| 1.682         | 3.39  | 1000 | 1.5857          |
+| 1.6593        | 3.73  | 1100 | 1.5742          |
+| 1.6538        | 4.06  | 1200 | 1.5675          |
+| 1.6417        | 4.4   | 1300 | 1.5682          |
+| 1.6274        | 4.74  | 1400 | 1.5571          |
+| 1.6375        | 5.08  | 1500 | 1.5566          |
+| 1.6217        | 5.42  | 1600 | 1.5564          |
+| 1.625         | 5.76  | 1700 | 1.5543          |
+| 1.6055        | 6.1   | 1800 | 1.5517          |
+| 1.6129        | 6.44  | 1900 | 1.5516          |
+| 1.609         | 6.77  | 2000 | 1.5506          |
 
 
 ### Framework versions