metadata
library_name: peft
license: mit
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
tags:
- generated_from_trainer
model-index:
- name: DeepSeek-R1-Distill-Qwen-1.5B-xlangai-spider-text-2-SQL-5-train-epochs
results: []
DeepSeek-R1-Distill-Qwen-1.5B-xlangai-spider-text-2-SQL-5-train-epochs
This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B on xlangai/spider text-to-SQL dataset. It achieves the following results on the evaluation set:
- Loss: 0.2901
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
Fine-tuning dataset: https://huggingface.co/datasets/xlangai/spider
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
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use paged_adamw_8bit 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 |
|---|---|---|---|
| 1.235 | 1.0 | 1750 | 0.2988 |
| 1.1652 | 2.0 | 3500 | 0.2931 |
| 1.1291 | 3.0 | 5250 | 0.2912 |
| 0.9951 | 4.0 | 7000 | 0.2909 |
| 0.8963 | 5.0 | 8750 | 0.2901 |
Framework versions
- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0