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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: ALL_mt5-base_15_spider_new2
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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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# ALL_mt5-base_15_spider_new2
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3806
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- Rouge2 Precision: 0.6339
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- Rouge2 Recall: 0.4352
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- Rouge2 Fmeasure: 0.487
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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: 4
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 15
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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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| 0.1807 | 1.0 | 4847 | 0.2361 | 0.546 | 0.3648 | 0.4103 |
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| 0.1003 | 2.0 | 9694 | 0.2335 | 0.5674 | 0.3804 | 0.4267 |
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| 0.0695 | 3.0 | 14541 | 0.2456 | 0.5959 | 0.4034 | 0.4521 |
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| 0.0565 | 4.0 | 19388 | 0.2553 | 0.6119 | 0.4163 | 0.466 |
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| 0.0421 | 5.0 | 24235 | 0.2739 | 0.62 | 0.4241 | 0.4745 |
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| 0.0354 | 6.0 | 29082 | 0.2824 | 0.6257 | 0.4252 | 0.4769 |
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| 0.0317 | 7.0 | 33929 | 0.2992 | 0.6321 | 0.4299 | 0.4822 |
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| 0.0257 | 8.0 | 38776 | 0.3090 | 0.6191 | 0.4201 | 0.4715 |
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| 0.0229 | 9.0 | 43623 | 0.3216 | 0.6336 | 0.4322 | 0.4848 |
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| 0.0205 | 10.0 | 48470 | 0.3331 | 0.6339 | 0.4347 | 0.4865 |
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| 0.0171 | 11.0 | 53317 | 0.3484 | 0.6281 | 0.4305 | 0.482 |
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| 0.0141 | 12.0 | 58164 | 0.3614 | 0.6364 | 0.4359 | 0.4882 |
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| 0.0135 | 13.0 | 63011 | 0.3634 | 0.6324 | 0.4345 | 0.486 |
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| 0.0131 | 14.0 | 67858 | 0.3744 | 0.6334 | 0.4349 | 0.4867 |
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| 0.0116 | 15.0 | 72705 | 0.3806 | 0.6339 | 0.4352 | 0.487 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.7.dev0
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- Tokenizers 0.13.3
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