1181c25cfa
Model: RylanSchaeffer/mem_Qwen3-344M_minerva_math_rep_1_sbst_1.0000_epch_1_ot_1 Source: Original Platform
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mem_Qwen3-344M_minerva_math_rep_1_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: 0.0011319779149789099
- train_batch_size: 40
- eval_batch_size: 40
- seed: 0
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 640
- total_eval_batch_size: 80
- 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 2.8.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.0