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TeeA
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Text2SQL-StudentProject-domain

Text2Text Generation
Transformers
TensorBoard
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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TeeA/sT5-text2sql-student-score

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Files changed (12) hide show
  1. README.md +73 -0
  2. added_tokens.json +25 -0
  3. config.json +61 -0
  4. generation_config.json +6 -0
  5. model.safetensors +3 -0
  6. runs/Mar08_15-25-51_ad58ba19cca7/events.out.tfevents.1709911569.ad58ba19cca7.451.0 +3 -0
  7. runs/Mar08_15-25-51_ad58ba19cca7/events.out.tfevents.1709912262.ad58ba19cca7.451.1 +3 -0
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  9. spiece.model +3 -0
  10. tokenizer.json +0 -0
  11. tokenizer_config.json +1124 -0
  12. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: cssupport/t5-small-awesome-text-to-sql
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ model-index:
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+ - name: Text2SQL-StudentProject-domain
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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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+ # Text2SQL-StudentProject-domain
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+
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+ This model is a fine-tuned version of [cssupport/t5-small-awesome-text-to-sql](https://huggingface.co/cssupport/t5-small-awesome-text-to-sql) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1285
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+ - Rouge1: 0.4284
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+ - Rouge2: 0.2870
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+ - Rougel: 0.4190
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+ - Rougelsum: 0.4200
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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: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 4
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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: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | No log | 1.0 | 15 | 1.4839 | 0.4099 | 0.2241 | 0.3759 | 0.3776 |
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+ | No log | 2.0 | 30 | 1.3820 | 0.4217 | 0.2599 | 0.3999 | 0.4011 |
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+ | No log | 3.0 | 45 | 1.3091 | 0.4183 | 0.2608 | 0.4043 | 0.4046 |
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+ | No log | 4.0 | 60 | 1.2522 | 0.4173 | 0.2635 | 0.4045 | 0.4047 |
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+ | No log | 5.0 | 75 | 1.2117 | 0.4223 | 0.2730 | 0.4108 | 0.4119 |
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+ | No log | 6.0 | 90 | 1.1793 | 0.4262 | 0.2740 | 0.4131 | 0.4143 |
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+ | No log | 7.0 | 105 | 1.1566 | 0.4326 | 0.2809 | 0.4198 | 0.4209 |
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+ | No log | 8.0 | 120 | 1.1413 | 0.4205 | 0.2766 | 0.4122 | 0.4115 |
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+ | No log | 9.0 | 135 | 1.1318 | 0.4226 | 0.2802 | 0.4142 | 0.4136 |
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+ | No log | 10.0 | 150 | 1.1285 | 0.4284 | 0.2870 | 0.4190 | 0.4200 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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