update model card README.md

README.md

@@ -0,0 +1,58 @@
+---
+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:
+- eval_loss: 1.6143
+- eval_runtime: 96.0898
+- eval_samples_per_second: 21.511
+- eval_steps_per_second: 5.38
+- epoch: 2.03
+- step: 600
+
+## 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: 0.0001
+- 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: 4
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1