update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-v1-base-s-q-c-multi-task-qgen-v2
+  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. -->
+
+# t5-v1-base-s-q-c-multi-task-qgen-v2
+
+This model is a fine-tuned version of [anshoomehra/t5-v1-base-s-q-c-multi-task-qgen](https://huggingface.co/anshoomehra/t5-v1-base-s-q-c-multi-task-qgen) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6751
+- Rouge1: 0.8028
+- Rouge2: 0.5168
+- Rougel: 0.8022
+- Rougelsum: 0.8022
+
+## 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: 0.0003
+- train_batch_size: 6
+- eval_batch_size: 6
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 0.5479        | 1.0   | 14600 | 0.5104          | 0.7672 | 0.4898 | 0.7666 | 0.7666    |
+| 0.3647        | 2.0   | 29200 | 0.5180          | 0.7862 | 0.4995 | 0.7855 | 0.7858    |
+| 0.2458        | 3.0   | 43800 | 0.5302          | 0.7938 | 0.5039 | 0.7932 | 0.7935    |
+| 0.1532        | 4.0   | 58400 | 0.6024          | 0.7989 | 0.514  | 0.7984 | 0.7984    |
+| 0.0911        | 5.0   | 73000 | 0.6751          | 0.8028 | 0.5168 | 0.8022 | 0.8022    |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.2
+- Tokenizers 0.13.0