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---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: mt5-base_EN_TH_sch_wiki_EN_TH_spider
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mt5-base_EN_TH_sch_wiki_EN_TH_spider
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge2 Precision: 0.011
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- Rouge2 Recall: 0.0037
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- Rouge2 Fmeasure: 0.005
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 15
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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|:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
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| 0.0 | 1.0 | 9693 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 2.0 | 19386 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 3.0 | 29079 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 4.0 | 38772 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 5.0 | 48465 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 6.0 | 58158 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 7.0 | 67851 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 8.0 | 77544 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 9.0 | 87237 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 10.0 | 96930 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 11.0 | 106623 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 12.0 | 116316 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 13.0 | 126009 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 14.0 | 135702 | nan | 0.011 | 0.0037 | 0.005 |
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| 0.0 | 15.0 | 145395 | nan | 0.011 | 0.0037 | 0.005 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.2.2
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- Datasets 2.16.1
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- Tokenizers 0.20.3
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