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results – AI Model by IFChikwanda | AlphaNeural AI
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results
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peft
safetensors
unsloth
generated_from_trainer
unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
adapter
llama3.1
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Model card
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This model is a fine-tuned version of
unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 8.1414
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: 8
eval_batch_size: 8
seed: 42
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
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
56
7.9756
No log
2.0
112
8.1414
Framework versions
PEFT 0.14.0
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
