End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: ALL_mt5-base_10_wikiSQL_sch
+  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_10_wikiSQL_sch
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0566
+- Rouge2 Precision: 0.8825
+- Rouge2 Recall: 0.802
+- Rouge2 Fmeasure: 0.8343
+
+## 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: 15
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.0789        | 1.0   | 8637  | 0.0678          | 0.859            | 0.7788        | 0.8103          |
+| 0.0683        | 2.0   | 17274 | 0.0613          | 0.8688           | 0.7867        | 0.8196          |
+| 0.0587        | 3.0   | 25911 | 0.0595          | 0.8726           | 0.7917        | 0.8241          |
+| 0.0546        | 4.0   | 34548 | 0.0578          | 0.8771           | 0.7957        | 0.8284          |
+| 0.0499        | 5.0   | 43185 | 0.0572          | 0.8793           | 0.7981        | 0.8308          |
+| 0.0484        | 6.0   | 51822 | 0.0568          | 0.8797           | 0.7992        | 0.8315          |
+| 0.0447        | 7.0   | 60459 | 0.0565          | 0.8809           | 0.8003        | 0.8326          |
+| 0.0415        | 8.0   | 69096 | 0.0565          | 0.882            | 0.8013        | 0.8337          |
+| 0.042         | 9.0   | 77733 | 0.0564          | 0.8822           | 0.8019        | 0.8341          |
+| 0.0407        | 10.0  | 86370 | 0.0566          | 0.8825           | 0.802         | 0.8343          |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.1.2
+- Datasets 2.16.1
+- Tokenizers 0.13.3

special_tokens_map.json

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tokenizer_config.json

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