SimpleBerry/LLaMA-O1-Base-1127
This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the longcot_pt dataset.
Do not use this model without supervised training, please use LLaMA-O1-Supervised-1129 for directly usage.
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 24
- total_train_batch_size: 24
- total_eval_batch_size: 192
- 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
- num_epochs: 4.0
Training results
Framework versions
- Transformers 4.46.2
- Pytorch 2.3.1
- Datasets 3.1.0
- Tokenizers 0.20.1
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Model tree for SimpleBerry/LLaMA-O1-Base-1127
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct