update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ALL_mt5-base_5_spider_15_wikiSQL
+  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. -->
+
+# ALL_mt5-base_5_spider_15_wikiSQL
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0535
+- Rouge2 Precision: 0.7644
+- Rouge2 Recall: 0.5113
+- Rouge2 Fmeasure: 0.5798
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.4225        | 1.0   | 875  | 0.1196          | 0.6114           | 0.3983        | 0.4541          |
+| 0.1491        | 2.0   | 1750 | 0.0822          | 0.6989           | 0.4688        | 0.5304          |
+| 0.1128        | 3.0   | 2625 | 0.0640          | 0.7302           | 0.4905        | 0.5547          |
+| 0.0972        | 4.0   | 3500 | 0.0560          | 0.7542           | 0.5066        | 0.5733          |
+| 0.0914        | 5.0   | 4375 | 0.0535          | 0.7644           | 0.5113        | 0.5798          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.7.dev0
+- Tokenizers 0.13.3