sft
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the sharegpt4 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: 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_ratio: 0.3
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.55.0
- Pytorch 2.5.1
- Datasets 3.6.0
- Tokenizers 0.21.1
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Model tree for loafeihong/llama2-7b-sharegpt4-FullSFT
Base model
meta-llama/Llama-2-7b-hf