End of training
Browse files- .gitattributes +1 -0
- README.md +72 -0
- generation_config.json +7 -0
- pytorch_model.bin +1 -1
- runs/Feb03_13-08-59_munich/events.out.tfevents.1706940546.munich.1021065.0 +2 -2
- special_tokens_map.json +5 -0
- spiece.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +12 -0
.gitattributes
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README.md
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---
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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_15_wikiSQL_new
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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_15_wikiSQL_new
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2909
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- Rouge2 Precision: 0.6313
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- Rouge2 Recall: 0.4304
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- Rouge2 Fmeasure: 0.4825
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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: 19
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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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| 0.2246 | 1.0 | 1021 | 0.2285 | 0.5427 | 0.3561 | 0.4023 |
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| 0.1399 | 2.0 | 2042 | 0.2178 | 0.5685 | 0.3784 | 0.4254 |
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| 0.1064 | 3.0 | 3063 | 0.2239 | 0.5832 | 0.3955 | 0.443 |
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| 0.0849 | 4.0 | 4084 | 0.2297 | 0.6109 | 0.4157 | 0.466 |
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| 0.0725 | 5.0 | 5105 | 0.2445 | 0.6023 | 0.4067 | 0.4567 |
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| 0.0614 | 6.0 | 6126 | 0.2444 | 0.607 | 0.4123 | 0.4621 |
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| 0.053 | 7.0 | 7147 | 0.2522 | 0.6158 | 0.419 | 0.4694 |
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| 0.0479 | 8.0 | 8168 | 0.2612 | 0.6187 | 0.4194 | 0.4706 |
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| 0.043 | 9.0 | 9189 | 0.2636 | 0.6249 | 0.4268 | 0.4782 |
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| 0.0402 | 10.0 | 10210 | 0.2697 | 0.6304 | 0.4296 | 0.4818 |
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| 0.0368 | 11.0 | 11231 | 0.2770 | 0.6299 | 0.43 | 0.482 |
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| 0.0348 | 12.0 | 12252 | 0.2836 | 0.6284 | 0.4274 | 0.4795 |
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| 0.0329 | 13.0 | 13273 | 0.2879 | 0.6233 | 0.4242 | 0.4758 |
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| 0.0324 | 14.0 | 14294 | 0.2913 | 0.6303 | 0.4296 | 0.4818 |
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| 0.0313 | 15.0 | 15315 | 0.2909 | 0.6313 | 0.4304 | 0.4825 |
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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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generation_config.json
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}
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tokenizer_config.json
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