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e22vvb
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ALL_mt5-base_15_wikiSQL_sch

Text2Text Generation
Transformers
Safetensors
mt5
Generated from Trainer
Inference Endpoints
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  1. README.md +74 -0
  2. generation_config.json +6 -0
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/mt5-base
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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_wikiSQL_sch
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+ results: []
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+ ---
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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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+
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+ # ALL_mt5-base_15_wikiSQL_sch
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+
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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: 0.0585
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+ - Rouge2 Precision: 0.8836
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+ - Rouge2 Recall: 0.8038
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+ - Rouge2 Fmeasure: 0.8358
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 15
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
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+ |:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
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+ | 0.0796 | 1.0 | 8637 | 0.0675 | 0.8604 | 0.78 | 0.8122 |
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+ | 0.0683 | 2.0 | 17274 | 0.0617 | 0.8681 | 0.7878 | 0.8199 |
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+ | 0.0587 | 3.0 | 25911 | 0.0593 | 0.8733 | 0.7924 | 0.8248 |
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+ | 0.0527 | 4.0 | 34548 | 0.0579 | 0.8776 | 0.795 | 0.8282 |
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+ | 0.0478 | 5.0 | 43185 | 0.0573 | 0.8788 | 0.7981 | 0.8305 |
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+ | 0.0453 | 6.0 | 51822 | 0.0571 | 0.8806 | 0.7999 | 0.8323 |
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+ | 0.043 | 7.0 | 60459 | 0.0571 | 0.8816 | 0.8008 | 0.8333 |
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+ | 0.0399 | 8.0 | 69096 | 0.0570 | 0.881 | 0.8006 | 0.8329 |
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+ | 0.0389 | 9.0 | 77733 | 0.0573 | 0.8823 | 0.8019 | 0.8343 |
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+ | 0.0363 | 10.0 | 86370 | 0.0573 | 0.8828 | 0.8025 | 0.8347 |
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+ | 0.0366 | 11.0 | 95007 | 0.0580 | 0.8835 | 0.8028 | 0.8352 |
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+ | 0.0333 | 12.0 | 103644 | 0.0579 | 0.8836 | 0.8032 | 0.8355 |
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+ | 0.0325 | 13.0 | 112281 | 0.0581 | 0.8833 | 0.8036 | 0.8356 |
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+ | 0.0327 | 14.0 | 120918 | 0.0585 | 0.8839 | 0.8039 | 0.836 |
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+ | 0.0306 | 15.0 | 129555 | 0.0585 | 0.8836 | 0.8038 | 0.8358 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.0
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
generation_config.json ADDED
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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": "4.37.2"
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+ }
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