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---
library_name: transformers
base_model: Qwen/Qwen2.5-Coder-0.5B-Instruct
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- griffith-bigdata/sft_text2sql_v2
model-index:
- name: Qwen-2.5-Coder-0.5B-SQL-Writer
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. -->
# Qwen-2.5-Coder-0.5B-SQL-Writer
This model is a fine-tuned version of [/home/datht/huggingface/Qwen/Qwen2.5-Coder-0.5B-Instruct](https://huggingface.co//home/datht/huggingface/Qwen/Qwen2.5-Coder-0.5B-Instruct) on the /home/datht/mats/data/sft/sft_text2sql_v2 dataset.
## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 64
- total_train_batch_size: 128
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2
### Training results
### Framework versions
- Transformers 4.45.0
- Pytorch 2.2.2+cu121
- Datasets 4.1.1
- Tokenizers 0.20.3
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