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
+  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
+
+This model is a fine-tuned version of [anshoomehra/t5-v1-base-s-q-multi-task-qgen](https://huggingface.co/anshoomehra/t5-v1-base-s-q-multi-task-qgen) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5165
+- Rouge1: 0.5819
+- Rouge2: 0.4231
+- Rougel: 0.5487
+- Rougelsum: 0.5491
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 1.9372        | 1.0   | 942  | 1.4811          | 0.5555 | 0.3861 | 0.5243 | 0.5237    |
+| 1.2665        | 2.0   | 1884 | 1.4050          | 0.5688 | 0.4056 | 0.5385 | 0.539     |
+| 0.955         | 3.0   | 2826 | 1.4131          | 0.5733 | 0.4101 | 0.5426 | 0.5436    |
+| 0.7471        | 4.0   | 3768 | 1.4436          | 0.5769 | 0.4179 | 0.5464 | 0.5466    |
+| 0.6382        | 5.0   | 4710 | 1.5165          | 0.5819 | 0.4231 | 0.5487 | 0.5491    |
+
+
+### Framework versions
+
+- Transformers 4.23.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.5.2
+- Tokenizers 0.13.0