update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+datasets:
+- t5_squad
+model-index:
+- name: t5-simple-qg-hu
+  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-simple-qg-hu
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the t5_squad dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7546
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.2425        | 1.35  | 100  | 2.5868          |
+| 2.9755        | 2.71  | 200  | 1.9272          |
+| 2.3029        | 4.06  | 300  | 1.7986          |
+| 2.176         | 5.42  | 400  | 1.7645          |
+| 2.1273        | 6.77  | 500  | 1.7546          |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3