Quantization made by Richard Erkhov.
llama3-8b-math-sft-subtask-7 - GGUF
- Model creator: https://huggingface.co/Dynosaur/
- Original model: https://huggingface.co/Dynosaur/llama3-8b-math-sft-subtask-7/
Original model description:
library_name: transformers license: llama3 base_model: Dynosaur/llama3-8b-math-sft tags: - alignment-handbook - trl - sft - generated_from_trainer - trl - sft - generated_from_trainer datasets: - Dynosaur/math-sft-subtask-7 model-index: - name: llama3-8b-math-sft-subtask-7 results: []
llama3-8b-math-sft-subtask-7
This model is a fine-tuned version of Dynosaur/llama3-8b-math-sft on the Dynosaur/math-sft-subtask-7 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1