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README.md ADDED
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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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+ datasets:
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+ - wikisql
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+ model-index:
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+ - name: flan-t5-base-finetune
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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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+ # flan-t5-base-finetune
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+
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+ This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the wikisql dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0966
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+ - Rouge2 Precision: 0.8525
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+ - Rouge2 Recall: 0.5466
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+ - Rouge2 Fmeasure: 0.6549
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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: 32
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+ - eval_batch_size: 128
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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: 5
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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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+ | 0.162 | 1.0 | 2025 | 0.1235 | 0.8357 | 0.5366 | 0.6425 |
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+ | 0.1277 | 2.0 | 4050 | 0.1082 | 0.8434 | 0.5413 | 0.6482 |
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+ | 0.1142 | 3.0 | 6075 | 0.1000 | 0.8491 | 0.5443 | 0.6522 |
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+ | 0.1063 | 4.0 | 8100 | 0.0978 | 0.8516 | 0.5464 | 0.6544 |
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+ | 0.1 | 5.0 | 10125 | 0.0966 | 0.8525 | 0.5466 | 0.6549 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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": "4.28.1"
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+ }
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