train_2024-04-24-11-25-37
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the alpaca_zh and the alpaca_gpt4_zh datasets.
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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Model tree for Sylvia2025/llama3-8B-alpaca_zh
Base model
meta-llama/Meta-Llama-3-8B