README.md

metadata

license: mit
base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
tags:
  - generated_from_trainer
library_name: peft
model-index:
  - name: lora-sql-output-2
    results: []

lora-sql-output-2

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B on an unknown 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: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• num_epochs: 1

Framework versions

• PEFT 0.7.1
• Transformers 4.38.2
• Pytorch 2.1.0+cu118
• Datasets 2.13.1
• Tokenizers 0.15.2