827b7b7d57
Model: pre-to-post-olmo/math-1b-sft-numinamath-bs512-from-step5000 Source: Original Platform
library_name, license, base_model, tags, model-index
| library_name | license | base_model | tags | model-index | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| transformers | other | pre-to-post-olmo/math-1b-anneal-from-step5000 |
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math-1b-sft-numinamath-bs512-from-step5000
This model is a fine-tuned version of pre-to-post-olmo/math-1b-anneal-from-step5000 on the numinamath_cot 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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- total_eval_batch_size: 64
- 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_ratio: 0.03
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.12.1+cu130
- Datasets 4.0.0
- Tokenizers 0.22.2