multi-practice-fine-tuning-eeve
This model is a fine-tuned version of yanolja/EEVE-Korean-Instruct-10.8B-v1.0 on an unknown 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.19.0
- Tokenizers 0.15.2
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Model tree for uine/multi-practice-fine-tuning-eeve-adapter
Base model
upstage/SOLAR-10.7B-v1.0
Finetuned
yanolja/EEVE-Korean-10.8B-v1.0
Finetuned
yanolja/EEVE-Korean-Instruct-10.8B-v1.0