Bitnet-Starling-beta
This model is a fine-tuned version of NousResearch/Hermes-2-Pro-Llama-3-8B 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.1
- training_steps: 2
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for sonu2023/Bitnet-Starling-beta
Base model
NousResearch/Meta-Llama-3-8B
Finetuned
NousResearch/Hermes-2-Pro-Llama-3-8B