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output-math-8b – AI Model by sai-lakkshmii | AlphaNeural AI
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output-math-8b
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safetensors
llama
generated_from_trainer
meta-llama/Llama-3.1-8B
finetune
llama3.1
us
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output-math-8b
This model is a fine-tuned version of
meta-llama/Llama-3.1-8B
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2691
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: 2
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 4
total_train_batch_size: 64
total_eval_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
training_steps: 100
Training results
Framework versions
Transformers 4.43.3
Pytorch 2.3.0+cu121
Datasets 3.2.0
Tokenizers 0.19.1
