junn991/llama3-8b-1gpu-couple
Browse files- README.md +63 -0
- adapter_config.json +33 -0
- adapter_model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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library_name: peft
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license: other
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base_model: beomi/Llama-3-Open-Ko-8B
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tags:
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- generated_from_trainer
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model-index:
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- name: llama_singleGPU-couple-v1
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# llama_singleGPU-couple-v1
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This model is a fine-tuned version of [beomi/Llama-3-Open-Ko-8B](https://huggingface.co/beomi/Llama-3-Open-Ko-8B) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.4283
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-08
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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- optimizer: Use paged_adamw_8bit with betas=(0.9,0.95) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 6.0122 | 0.3828 | 50 | 6.4281 |
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| 6.4262 | 0.7656 | 100 | 6.4283 |
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### Framework versions
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- PEFT 0.13.3.dev0
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- Transformers 4.47.0.dev0
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- Pytorch 2.5.1+cu124
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "beomi/Llama-3-Open-Ko-8B",
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj",
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"o_proj",
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"k_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:76e0e2cfee29625aa54dfa18c4de1bf661a6beacaa8272509371e3efd7371876
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size 54560368
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c51c43d6b228b6a9e33ec2fb73f8d0f60c05a290d8e021b7060badcf6b1b91f
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size 5432
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