update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- wikihow
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-cnndm3-wikihow3
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: wikihow
+      type: wikihow
+      args: all
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 27.2654
+---
+
+<!-- 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. -->
+
+# t5-small-finetuned-cnndm3-wikihow3
+
+This model is a fine-tuned version of [Chikashi/t5-small-finetuned-cnndm3-wikihow2](https://huggingface.co/Chikashi/t5-small-finetuned-cnndm3-wikihow2) on the wikihow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3138
+- Rouge1: 27.2654
+- Rouge2: 10.5461
+- Rougel: 23.2451
+- Rougelsum: 26.6151
+- Gen Len: 18.5263
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.5019        | 1.0   | 39313 | 2.3138          | 27.2654 | 10.5461 | 23.2451 | 26.6151   | 18.5263 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1