update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: GSOCt5-small-finetuned-t5_V1
+  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. -->
+
+# GSOCt5-small-finetuned-t5_V1
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6901
+- Rouge1: 33.0453
+- Rouge2: 23.5726
+- Rougel: 30.4702
+- Rougelsum: 31.6567
+- Gen Len: 18.9571
+
+## 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: 3e-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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 0.8364        | 1.0   | 631  | 0.6993          | 32.9852 | 23.5209 | 30.3671 | 31.5511   | 18.9518 |
+| 0.8027        | 2.0   | 1262 | 0.6901          | 33.0453 | 23.5726 | 30.4702 | 31.6567   | 18.9571 |
+| 0.7988        | 3.0   | 1893 | 0.6901          | 33.0453 | 23.5726 | 30.4702 | 31.6567   | 18.9571 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3