update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- big_patent
+metrics:
+- rouge
+model-index:
+- name: patent-summarization-allen-led-large-2022-09-20
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: big_patent
+      type: big_patent
+      config: all
+      split: train
+      args: all
+    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. -->
+
+# patent-summarization-allen-led-large-2022-09-20
+
+This model is a fine-tuned version of [allenai/led-large-16384-arxiv](https://huggingface.co/allenai/led-large-16384-arxiv) on the big_patent dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8240
+- Rouge1: 0.0
+- Rouge2: 0.0
+- Rougel: 0.0
+- Rougelsum: 0.0
+- Gen Len: 512.0
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 3.4766        | 0.08  | 5000  | 3.4240          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 3.2549        | 0.17  | 10000 | 3.2908          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 3.2295        | 0.25  | 15000 | 3.1862          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 3.1455        | 0.33  | 20000 | 3.1291          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 3.0526        | 0.41  | 25000 | 3.0684          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 3.0024        | 0.5   | 30000 | 3.0134          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 2.9671        | 0.58  | 35000 | 2.9696          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 2.9862        | 0.66  | 40000 | 2.9431          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 2.9168        | 0.75  | 45000 | 2.8989          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 2.9063        | 0.83  | 50000 | 2.8559          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 2.8417        | 0.91  | 55000 | 2.8398          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+| 2.7853        | 0.99  | 60000 | 2.8240          | 0.0    | 0.0    | 0.0    | 0.0       | 512.0   |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.0
+- Datasets 2.4.0
+- Tokenizers 0.12.1