update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- crd3
+metrics:
+- rouge
+model-index:
+- name: primer-crd3
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: crd3
+      type: crd3
+      config: default
+      split: train[:1]
+      args: default
+    metrics:
+    - name: Rouge1
+      type: rouge
+      value: 0.0
+---
+
+<!-- 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. -->
+
+# primer-crd3
+
+This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on the crd3 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.7826
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 1    | 8.1025          | 0.0    | 0.0    | 0.0    | 0.0       |
+| No log        | 2.0   | 2    | 7.7826          | 0.0    | 0.0    | 0.0    | 0.0       |
+
+
+### Framework versions
+
+- Transformers 4.24.0
+- Pytorch 1.8.0
+- Datasets 2.7.0
+- Tokenizers 0.13.2