update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- aeslc
+metrics:
+- rouge
+model-index:
+- name: t5-base-finetuned-aeslc-test
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: aeslc
+      type: aeslc
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 31.7262
+---
+
+<!-- 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-base-finetuned-aeslc-test
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the aeslc dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8011
+- Rouge1: 31.7262
+- Rouge2: 15.5316
+- Rougel: 31.0189
+- Rougelsum: 31.0564
+- Gen Len: 4.9822
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 3.0395        | 1.0   | 7218 | 2.8011          | 31.7262 | 15.5316 | 31.0189 | 31.0564   | 4.9822  |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3