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Baha_2A_DeepSeek_R1 – AI Model by EdBergJr | AlphaNeural AI
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EdBergJr
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Baha_2A_DeepSeek_R1
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peft
tensorboard
safetensors
adapter
lora
sft
transformers
trl
text-generation
conversational
meta-llama/Llama-3.2-3B
llama3.2
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Baha_2A_DeepSeek_R1
This model is a fine-tuned version of
meta-llama/Llama-3.2-3B
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: 0.0002
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 1190
mixed_precision_training: Native AMP
Training results
Framework versions
PEFT 0.18.1.dev0
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
