Upload README.md

README.md

@@ -1,3 +1,60 @@
 ---
-license: mit
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: tst-summarization
+ 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. -->
+
+# tst-summarization
+
+This model is a fine-tuned version of [henryu-lin/t5-large-samsum-deepspeed](https://huggingface.co/henryu-lin/t5-large-samsum-deepspeed) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3922
+- Rouge1: 54.905
+- Rouge2: 26.6374
+- Rougel: 40.4619
+- Rougelsum: 52.3653
+- Gen Len: 104.7241
+
+## 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: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.18.0.dev0
+- Pytorch 1.10.0
+- Datasets 1.18.4
+- Tokenizers 0.11.6