pogny
This model is a fine-tuned version of MLP-KTLim/llama-3-Korean-Bllossom-8B on the alpaca_en_demo dataset. It achieves the following results on the evaluation set:
- Loss: 1.2285
- Accuracy: 0.6567
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: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 3
- gradient_accumulation_steps: 8
- total_train_batch_size: 48
- total_eval_batch_size: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1.0
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.2.0a0+81ea7a4
- Datasets 2.17.1
- Tokenizers 0.19.1
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