---
library_name: transformers
license: llama3
base_model: NousResearch/Hermes-3-Llama-3.2-3B
tags:
- generated_from_trainer
model-index:
- name: Hermes-3-Llama-3.2-3B-1Bit_Math_COT
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Hermes-3-Llama-3.2-3B-1Bit_Math_COT

This model is a fine-tuned version of [NousResearch/Hermes-3-Llama-3.2-3B](https://huggingface.co/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