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abdussahid26/
DeepSeek-R1-Distill-Qwen-1.5B-xlangai-spider-text-2-SQL

peft

safetensors

generated_from_trainer

deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B

adapter

mit

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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

abdussahid26/DeepSeek-R1-Distill-Qwen-1.5B-xlangai-spider-text-2-SQL