Hermes-3-Llama-3.2-3B-1Bit_Math_COT
This model is a fine-tuned version of NousResearch/Hermes-3-Llama-3.2-3B 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: 0.00015
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 10
- training_steps: 11000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for majorSeaweed/Hermes-3-Llama-3.2-3B-1Bit_Math_COT
Base model
NousResearch/Hermes-3-Llama-3.2-3B