llama8_on_korean_summary

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: beomi/Llama-3-Open-Ko-8B-Instruct-preview
+model-index:
+- name: llama8_on_korean_summary
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# llama8_on_korean_summary
+
+This model is a fine-tuned version of [beomi/Llama-3-Open-Ko-8B-Instruct-preview](https://huggingface.co/beomi/Llama-3-Open-Ko-8B-Instruct-preview) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8512
+
+## 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-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 10
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5836        | 0.26  | 20   | 1.4113          |
+| 1.2717        | 0.53  | 40   | 1.1577          |
+| 1.1128        | 0.79  | 60   | 1.0624          |
+| 1.0331        | 1.05  | 80   | 1.0005          |
+| 0.9565        | 1.32  | 100  | 0.9578          |
+| 0.9084        | 1.58  | 120  | 0.9194          |
+| 0.9038        | 1.84  | 140  | 0.8943          |
+| 0.8157        | 2.11  | 160  | 0.8798          |
+| 0.7401        | 2.37  | 180  | 0.8598          |
+| 0.7218        | 2.63  | 200  | 0.8412          |
+| 0.725         | 2.89  | 220  | 0.8264          |
+| 0.6651        | 3.16  | 240  | 0.8289          |
+| 0.5981        | 3.42  | 260  | 0.8238          |
+| 0.5987        | 3.68  | 280  | 0.8149          |
+| 0.5998        | 3.95  | 300  | 0.8093          |
+| 0.5423        | 4.21  | 320  | 0.8248          |
+| 0.5188        | 4.47  | 340  | 0.8221          |
+| 0.5258        | 4.74  | 360  | 0.8201          |
+| 0.5028        | 5.0   | 380  | 0.8199          |
+| 0.4567        | 5.26  | 400  | 0.8421          |
+| 0.4558        | 5.53  | 420  | 0.8427          |
+| 0.4424        | 5.79  | 440  | 0.8395          |
+| 0.4456        | 6.05  | 460  | 0.8387          |
+| 0.4147        | 6.32  | 480  | 0.8517          |
+| 0.4254        | 6.58  | 500  | 0.8512          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- Transformers 4.38.2
+- Pytorch 2.1.2+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "beomi/Llama-3-Open-Ko-8B-Instruct-preview",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "down_proj",
+    "gate_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 167832240

training_args.bin

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