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mem_Qwen3-153M_minerva_math_rep_1000_sbst_1.0000_epch_1_ot_1 – AI Model by RylanSchaeffer | AlphaNeural AI
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RylanSchaeffer
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mem_Qwen3-153M_minerva_math_rep_1000_sbst_1.0000_epch_1_ot_1
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transformers
safetensors
qwen3
text-generation
generated_from_trainer
conversational
text-generation-inference
endpoints_compatible
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mem_Qwen3-153M_minerva_math_rep_1000_sbst_1.0000_epch_1_ot_1
This model is a fine-tuned version of
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: 0.0010172531641631792
train_batch_size: 34
eval_batch_size: 34
seed: 0
distributed_type: multi-GPU
num_devices: 2
gradient_accumulation_steps: 8
total_train_batch_size: 544
total_eval_batch_size: 68
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 250
num_epochs: 1
Training results
Framework versions
Transformers 4.56.1
Pytorch 2.7.1+cu128
Datasets 3.6.0
Tokenizers 0.22.0
