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deepseeks-r1-property-investment – AI Model by Kwabs-10 | AlphaNeural AI
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deepseeks-r1-property-investment
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peft
tensorboard
safetensors
generated_from_trainer
text-generation
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huihui-ai/DeepSeek-R1-Distill-Qwen-1.5B-abliterated
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deepseeks-r1-property-investment
This model is a fine-tuned version of
huihui-ai/DeepSeek-R1-Distill-Qwen-1.5B-abliterated
on the None 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: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.14.0
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
