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library_name: transformers
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license: apache-2.0
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base_model: Salesforce/codet5-base
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: codet5-base-sql-create-context
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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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# codet5-base-sql-create-context
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This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on
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It achieves the following results on the evaluation set:
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- Loss: 0.0036
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- Exact Match: 0.2451
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- Rouge2: 0.8839
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- Bleu: 75.6780
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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: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | Rouge2 | Bleu |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|:-------:|
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| 0.0071 | 1.0 | 7858 | 0.0047 | 0.2360 | 0.8808 | 75.1891 |
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| 0.0041 | 2.0 | 15716 | 0.0039 | 0.2393 | 0.8820 | 75.4061 |
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| 0.0028 | 3.0 | 23574 | 0.0037 | 0.2447 | 0.8832 | 75.5863 |
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| 0.0019 | 4.0 | 31432 | 0.0035 | 0.2469 | 0.8837 | 75.7130 |
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| 0.0013 | 5.0 | 39290 | 0.0036 | 0.2451 | 0.8839 | 75.6780 |
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### Framework versions
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- Transformers 4.50.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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---
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library_name: transformers
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license: apache-2.0
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base_model: Salesforce/codet5-base
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tags:
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- generated_from_trainer
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metrics:
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+
- bleu
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| 9 |
+
model-index:
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- name: codet5-base-sql-create-context
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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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# codet5-base-sql-create-context
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This model is a fine-tuned version of [Salesforce/codet5-base](https://huggingface.co/Salesforce/codet5-base) on [b-mc2/sql-create-context](https://huggingface.co/datasets/b-mc2/sql-create-context) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0036
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+
- Exact Match: 0.2451
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+
- Rouge2: 0.8839
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- Bleu: 75.6780
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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: 8
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+
- eval_batch_size: 8
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+
- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | Exact Match | Rouge2 | Bleu |
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| 54 |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|:-------:|
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| 55 |
+
| 0.0071 | 1.0 | 7858 | 0.0047 | 0.2360 | 0.8808 | 75.1891 |
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| 56 |
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| 0.0041 | 2.0 | 15716 | 0.0039 | 0.2393 | 0.8820 | 75.4061 |
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| 57 |
+
| 0.0028 | 3.0 | 23574 | 0.0037 | 0.2447 | 0.8832 | 75.5863 |
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| 58 |
+
| 0.0019 | 4.0 | 31432 | 0.0035 | 0.2469 | 0.8837 | 75.7130 |
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| 0.0013 | 5.0 | 39290 | 0.0036 | 0.2451 | 0.8839 | 75.6780 |
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+
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### Framework versions
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- Transformers 4.50.3
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- Pytorch 2.5.1+cu121
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- Datasets 3.5.0
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| 67 |
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- Tokenizers 0.21.1
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