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lora-llama3-gsm8k – AI Model by rtahmasbi | AlphaNeural AI
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rtahmasbi
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lora-llama3-gsm8k
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peft
safetensors
adapter
lora
transformers
text-generation
conversational
meta-llama/Llama-3.1-8B-Instruct
llama3.1
us
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lora-llama3-gsm8k
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8563
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: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.8476
1.0
234
0.8639
0.8223
2.0
468
0.8559
0.7863
3.0
702
0.8563
Framework versions
PEFT 0.18.1
Transformers 5.2.0
Pytorch 2.7.1+cu118
Datasets 4.5.0
Tokenizers 0.22.2
