llama-3-8b-chat-patent-small
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the english translation of a small dataset of 16,000 Korean patents.
Model description
This model is provided for testing purposes only.
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- 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: 3.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for kimhyeongjun/llama-3-8b-patent-small-dataset
Base model
meta-llama/Meta-Llama-3-8B-Instruct