llama_singleGPU-couple-v1
This model is a fine-tuned version of beomi/Llama-3-Open-Ko-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 6.4283
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-08
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
6.0122 | 0.3828 | 50 | 6.4281 |
6.4262 | 0.7656 | 100 | 6.4283 |
Framework versions
- PEFT 0.13.3.dev0
- Transformers 4.47.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for junn991/llama_singleGPU-couple-v1
Base model
beomi/Llama-3-Open-Ko-8B