Epipaca

1. This is the cross-languadge LLM adapter design for epilepsy-care instuction, with support both Mandarin and English.
2. It is finetune by Epilepsy_Synthetics dataset.
   ** Notice: Haven't validate yet. Use with care. **

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 2

Training results

Framework versions

• PEFT 0.11.1
• Transformers 4.40.2
• Pytorch 2.2.1
• Datasets 2.19.1
• Tokenizers 0.19.1