update model card README.md

README.md

@@ -0,0 +1,89 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- big_patent
+metrics:
+- rouge
+model-index:
+- name: patent-summarization-t5-base-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: 19.4044
+---
+
+<!-- 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-t5-base-2022-09-20
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the big_patent dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9973
+- Rouge1: 19.4044
+- Rouge2: 7.5483
+- Rougel: 16.2429
+- Rougelsum: 17.488
+- Gen Len: 19.0
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 2.2811        | 0.08  | 5000  | 2.1767          | 18.5624 | 6.8795 | 15.5361 | 16.6836   | 19.0    |
+| 2.2551        | 0.17  | 10000 | 2.1327          | 19.077  | 6.8512 | 15.79   | 17.086    | 19.0    |
+| 2.2818        | 0.25  | 15000 | 2.1029          | 18.8637 | 6.9233 | 15.7341 | 16.9717   | 19.0    |
+| 2.1952        | 0.33  | 20000 | 2.0805          | 18.962  | 7.1157 | 15.8297 | 17.0333   | 19.0    |
+| 2.157         | 0.41  | 25000 | 2.0641          | 19.1418 | 7.315  | 16.05   | 17.2551   | 19.0    |
+| 2.1775        | 0.5   | 30000 | 2.0452          | 19.2387 | 7.3193 | 16.0852 | 17.3563   | 19.0    |
+| 2.1376        | 0.58  | 35000 | 2.0308          | 19.291  | 7.363  | 16.1243 | 17.4151   | 19.0    |
+| 2.1853        | 0.66  | 40000 | 2.0207          | 19.2808 | 7.4671 | 16.1593 | 17.3836   | 19.0    |
+| 2.1416        | 0.75  | 45000 | 2.0113          | 19.0414 | 7.3335 | 15.9747 | 17.1899   | 19.0    |
+| 2.1245        | 0.83  | 50000 | 2.0055          | 19.1445 | 7.3715 | 16.0166 | 17.2621   | 19.0    |
+| 2.133         | 0.91  | 55000 | 1.9997          | 19.3033 | 7.4821 | 16.1413 | 17.3949   | 19.0    |
+| 2.1191        | 0.99  | 60000 | 1.9973          | 19.4044 | 7.5483 | 16.2429 | 17.488    | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.0
+- Datasets 2.4.0
+- Tokenizers 0.12.1