update model card README.md

README.md

@@ -0,0 +1,79 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- eli5
+metrics:
+- rouge
+model-index:
+- name: t5-base-finetuned-eli-5
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: eli5
+      type: eli5
+      config: LFQA_reddit
+      split: train_eli5
+      args: LFQA_reddit
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 13.4
+---
+
+<!-- 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-eli-5
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the eli5 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4557
+- Rouge1: 13.4
+- Rouge2: 1.9415
+- Rougel: 10.4671
+- Rougelsum: 12.0693
+- Gen Len: 18.9529
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|:---------:|:-------:|
+| 3.6754        | 1.0   | 8520 | 3.4557          | 13.4   | 1.9415 | 10.4671 | 12.0693   | 18.9529 |
+
+
+### Framework versions
+
+- Transformers 4.22.1
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.1
+- Tokenizers 0.12.1