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olmo3-7b-pilot3-sft-math-code – AI Model by jdineen | AlphaNeural AI
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olmo3-7b-pilot3-sft-math-code
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transformers
safetensors
optimum_habana
olmo3
text-generation
trl
sft
generated_from_trainer
conversational
allenai/Olmo-3-1025-7B
finetune
apache-2.0
endpoints_compatible
us
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olmo3-7b-pilot3-sft-math-code
This model is a fine-tuned version of
allenai/Olmo-3-1025-7B
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-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.95) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 1500
Training results
Framework versions
Transformers 4.55.4
Pytorch 2.9.0+hpu_1.23.0-695.git8598e6d
Datasets 4.8.5
Tokenizers 0.21.4
