update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ALL_mt5-base_5_spider_15_wikiSQL_new
+  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_new
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2299
+- Rouge2 Precision: 0.5924
+- Rouge2 Recall: 0.4008
+- Rouge2 Fmeasure: 0.4493
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.2318        | 1.0   | 1212 | 0.2258          | 0.5422           | 0.3546        | 0.4016          |
+| 0.1515        | 2.0   | 2424 | 0.2190          | 0.5676           | 0.3783        | 0.4251          |
+| 0.1112        | 3.0   | 3636 | 0.2262          | 0.578            | 0.389         | 0.4362          |
+| 0.0951        | 4.0   | 4848 | 0.2304          | 0.5869           | 0.3947        | 0.4431          |
+| 0.088         | 5.0   | 6060 | 0.2299          | 0.5924           | 0.4008        | 0.4493          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.7.dev0
+- Tokenizers 0.13.3