train_2024-05-30-09-37-42
This model is a fine-tuned version of shenzhi-wang/Llama3-8B-Chinese-Chat on the Central-SheungWan 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for tommyssw/llama3-central-pretrained-model-1
Base model
meta-llama/Meta-Llama-3-8B-Instruct
Finetuned
shenzhi-wang/Llama3-8B-Chinese-Chat