Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+datasets:
+- wikisql
+model-index:
+- name: mt5_base_EN_sch_wiki
+  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. -->
+
+# mt5_base_EN_sch_wiki
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the wikisql dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Rouge2 Precision: 0.0165
+- Rouge2 Recall: 0.0087
+- Rouge2 Fmeasure: 0.0111
+
+## 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: 14
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.0           | 1.0   | 4627  | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 2.0   | 9254  | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 3.0   | 13881 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 4.0   | 18508 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 5.0   | 23135 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 6.0   | 27762 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 7.0   | 32389 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 8.0   | 37016 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 9.0   | 41643 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 10.0  | 46270 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 11.0  | 50897 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 12.0  | 55524 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 13.0  | 60151 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 14.0  | 64778 | nan             | 0.0165           | 0.0087        | 0.0111          |
+| 0.0           | 15.0  | 69405 | nan             | 0.0165           | 0.0087        | 0.0111          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.2.2
+- Datasets 2.16.1
+- Tokenizers 0.20.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.2"
+}