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llama_3.2_1b_megamath_fourier_full_2025_05_10 – AI Model by deqing | AlphaNeural AI
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llama_3.2_1b_megamath_fourier_full_2025_05_10
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transformers
safetensors
llama
text-generation
generated_from_trainer
autotrain_compatible
text-generation-inference
endpoints_compatible
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llama_3.2_1b_megamath_fourier_full_2025_05_10
This model is a fine-tuned version of
fourier_cnt_pretrain
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: 5e-05
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 6
gradient_accumulation_steps: 16
total_train_batch_size: 96
total_eval_batch_size: 48
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.3.1+cu118
Datasets 3.5.0
Tokenizers 0.21.0
