update model card README.md

README.md

@@ -1,13 +1,47 @@
 ---
-license: mit
-datasets:
-- AGBonnet/augmented-clinical-notes
-language:
-- en
-metrics:
-- rouge
-pipeline_tag: summarization
+license: apache-2.0
 tags:
-- clinical notes
-- summarization
----
+- generated_from_trainer
+model-index:
+- name: clinical-t5
+  results: []
+---
+
+<!-- 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. -->
+
+# clinical-t5
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+
+## 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: 4
+
+### Framework versions
+
+- Transformers 4.30.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.13.3