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LawLLM-temp – AI Model by avinasht | AlphaNeural AI
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avinasht
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LawLLM-temp
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peft
safetensors
generated_from_trainer
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
adapter
mit
us
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LawLLM-temp
This model is a fine-tuned version of
deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
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: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.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: 3
Training results
Framework versions
PEFT 0.14.1.dev0
Transformers 4.48.1
Pytorch 2.5.1+cu118
Datasets 2.21.0
Tokenizers 0.21.0
