update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: t5-small-finetuned-NL2ModelioMQ-EN
+  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-small-finetuned-NL2ModelioMQ-EN
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Rouge2 Precision: 0.9789
+- Rouge2 Recall: 0.6055
+- Rouge2 Fmeasure: 0.7295
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.0107        | 1.0   | 4449  | 0.0006          | 0.9688           | 0.6005        | 0.7229          |
+| 0.0022        | 2.0   | 8898  | 0.0001          | 0.9787           | 0.6054        | 0.7294          |
+| 0.001         | 3.0   | 13347 | 0.0000          | 0.9789           | 0.6055        | 0.7295          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.7.1
+- Tokenizers 0.13.2