Model save
Browse files- README.md +72 -0
- generation_config.json +6 -0
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_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
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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_manual_mt5-base_15_spider_no_sch_15_wikiSQL_no_sch
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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: 0.0276
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- Rouge2 Precision: 0.8193
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- Rouge2 Recall: 0.5491
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- Rouge2 Fmeasure: 0.6245
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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: 15
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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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| 0.3496 | 1.0 | 1293 | 0.2017 | 0.4711 | 0.3028 | 0.3466 |
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| 0.2041 | 2.0 | 2586 | 0.1328 | 0.5656 | 0.3798 | 0.4292 |
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| 0.1637 | 3.0 | 3879 | 0.0987 | 0.6111 | 0.4058 | 0.4602 |
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| 0.1294 | 4.0 | 5172 | 0.0791 | 0.6546 | 0.4366 | 0.4953 |
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| 0.1124 | 5.0 | 6465 | 0.0658 | 0.6947 | 0.4679 | 0.53 |
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| 0.0968 | 6.0 | 7758 | 0.0563 | 0.7264 | 0.4901 | 0.5555 |
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| 0.084 | 7.0 | 9051 | 0.0480 | 0.7492 | 0.5063 | 0.5737 |
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| 0.0782 | 8.0 | 10344 | 0.0428 | 0.7561 | 0.5075 | 0.5768 |
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| 0.0701 | 9.0 | 11637 | 0.0379 | 0.7758 | 0.522 | 0.5928 |
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| 0.0669 | 10.0 | 12930 | 0.0350 | 0.7904 | 0.5316 | 0.6039 |
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| 0.0623 | 11.0 | 14223 | 0.0318 | 0.8102 | 0.5432 | 0.6175 |
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| 0.059 | 12.0 | 15516 | 0.0299 | 0.8047 | 0.5413 | 0.615 |
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| 0.0562 | 13.0 | 16809 | 0.0286 | 0.8149 | 0.546 | 0.6214 |
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| 0.0548 | 14.0 | 18102 | 0.0279 | 0.8167 | 0.5478 | 0.6229 |
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| 0.0538 | 15.0 | 19395 | 0.0276 | 0.8193 | 0.5491 | 0.6245 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.0
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.38.2"
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}
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