Update README.md

README.md

@@ -1,77 +1,3 @@
----
-license: apache-2.0
-tags:
-- generated_from_trainer
-datasets:
-- cnn_dailymail
-metrics:
-- rouge
-model-index:
-- name: base
-  results:
-  - task:
-      name: Summarization
-      type: summarization
-    dataset:
-      name: cnn_dailymail 3.0.0
-      type: cnn_dailymail
-      config: 3.0.0
-      split: validation
-      args: 3.0.0
-    metrics:
-    - name: Rouge1
-      type: rouge
-      value: 42.1388
----
 
-<!-- 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. -->
 
-# base
 
-This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the cnn_dailymail 3.0.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.4232
-- Rouge1: 42.1388
-- Rouge2: 19.7696
-- Rougel: 30.1512
-- Rougelsum: 39.3222
-- Gen Len: 71.8562
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 1
-- eval_batch_size: 4
-- seed: 42
-- gradient_accumulation_steps: 64
-- total_train_batch_size: 64
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: constant
-- num_epochs: 3.0
-
-### Training results
-
-
-
-### Framework versions
-
-- Transformers 4.27.0.dev0
-- Pytorch 1.13.0+cu117
-- Datasets 2.7.1
-- Tokenizers 0.12.1