Create README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- shared_TaskA
+metrics:
+- rouge
+model-index:
+- name: flan-t5-base-dialogue
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: shared_TaskA
+      type: shared_TaskA
+      config: shared_TaskA
+      split: train
+      args: samsum
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 28.1748
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# flan-t5-base-samsum
+
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the shared_TaskA dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5153
+- Rouge1: 28.1748
+- Rouge2: 14.384
+- Rougel: 27.6673
+- Rougelsum: 27.8465
+- Gen Len: 18.85
+
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+Training Loss Validation Loss	Rouge1	     Rouge2	     Rougel	    Rougelsum	Gen Len
+    No log	    2.554769	   27.797100	14.471000	27.468300	27.617000	18.970000
+    No log	    2.515381       28.174800	14.384000	27.667300	27.846500	18.850000
+    No log	    2.542737	   27.982600	14.754000	27.559000	27.834200	18.800000
+    1.809200  	2.528819	   28.010600	15.268300	27.816000	27.999000	18.690000
+    1.809200	2.534979	   28.104800	15.248000	27.840400	28.069500	18.670000
+