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  1. README.md +64 -0
  2. generation_config.json +6 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: t5-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: EN_t5-base_5_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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+ # EN_t5-base_5_wikiSQL_sch
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+
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0120
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+ - Rouge2 Precision: 0.9364
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+ - Rouge2 Recall: 0.8382
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+ - Rouge2 Fmeasure: 0.8771
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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: 16
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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: 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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+ | 0.0199 | 1.0 | 4049 | 0.0150 | 0.9263 | 0.8311 | 0.8685 |
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+ | 0.015 | 2.0 | 8098 | 0.0131 | 0.9338 | 0.8353 | 0.8743 |
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+ | 0.0128 | 3.0 | 12147 | 0.0123 | 0.9353 | 0.8366 | 0.8758 |
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+ | 0.011 | 4.0 | 16196 | 0.0121 | 0.9358 | 0.8381 | 0.8768 |
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+ | 0.0098 | 5.0 | 20245 | 0.0120 | 0.9364 | 0.8382 | 0.8771 |
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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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+ }