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---
library_name: transformers
license: other
base_model: Qwen/Qwen2.5-Coder-3B
tags:
- generated_from_trainer
model-index:
- name: qwen2.5_coder_3b_sqlfuse_probgate_only_answerable_delimeters_eos
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# qwen2.5_coder_3b_sqlfuse_probgate_only_answerable_delimeters_eos
This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B](https://huggingface.co/Qwen/Qwen2.5-Coder-3B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2362
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| No log | 0 | 0 | 1.7824 |
| 0.1544 | 1.0 | 4674 | 0.1842 |
| 0.1131 | 2.0 | 9348 | 0.1640 |
| 0.0814 | 3.0 | 14022 | 0.1701 |
| 0.0561 | 4.0 | 18696 | 0.1827 |
| 0.0359 | 5.0 | 23370 | 0.2362 |
### Framework versions
- Transformers 4.56.0
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.22.0
## Additional Logging Information
---
tags:
- text-to-sql
- sqlfuse_prompt
- Qwen2.5-Coder-3B
---
This model is a fine-tuned version of `Qwen/Qwen2.5-Coder-3B` for the text-to-SQL task.
## Training Details
- **Training Time**: 02:35:39
- **GPU**: NVIDIA A100 80GB PCIe
- **Training Date**: 2025-11-28 11:45:10
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