Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/mt5-base
+tags:
+- generated_from_trainer
+model-index:
+- name: mt5-base_EN_spider
+  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_spider
+
+This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Rouge2 Precision: 0.0111
+- Rouge2 Recall: 0.0037
+- Rouge2 Fmeasure: 0.005
+
+## 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: 1
+- eval_batch_size: 1
+- 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   | 9693   | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 2.0   | 19386  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 3.0   | 29079  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 4.0   | 38772  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 5.0   | 48465  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 6.0   | 58158  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 7.0   | 67851  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 8.0   | 77544  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 9.0   | 87237  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 10.0  | 96930  | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 11.0  | 106623 | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 12.0  | 116316 | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 13.0  | 126009 | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 14.0  | 135702 | nan             | 0.0111           | 0.0037        | 0.005           |
+| 0.0           | 15.0  | 145395 | nan             | 0.0111           | 0.0037        | 0.005           |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.2.2
+- Datasets 2.16.1
+- Tokenizers 0.20.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.46.1"
+}