update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- squad_modified_for_t5_qg
+model-index:
+- name: t5-end2end-questions-generation
+  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-end2end-questions-generation
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the squad_modified_for_t5_qg dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.1068
+
+## 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: 0.1
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.812         | 0.34  | 100  | 6.7655          |
+| 6.6386        | 0.68  | 200  | 6.4218          |
+| 6.4115        | 1.02  | 300  | 6.2740          |
+| 6.2186        | 1.35  | 400  | 6.2807          |
+| 6.2125        | 1.69  | 500  | 6.2286          |
+| 6.1372        | 2.03  | 600  | 6.1663          |
+| 6.0765        | 2.37  | 700  | 6.1396          |
+| 6.0324        | 2.71  | 800  | 6.1068          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3