Training completed!

README.md

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+---
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: Meta-Llama-3-8B-Instruct-lora-commonsense
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yspkm/PrunePath-LoRA/runs/4qrk09ki)
+# Meta-Llama-3-8B-Instruct-lora-commonsense
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8882
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.1039        | 0.1503 | 200  | 1.0393          |
+| 1.0921        | 0.3006 | 400  | 1.0156          |
+| 1.0651        | 0.4510 | 600  | 1.0024          |
+| 1.0796        | 0.6013 | 800  | 0.9864          |
+| 1.0529        | 0.7516 | 1000 | 0.9797          |
+| 1.0396        | 0.9019 | 1200 | 0.9657          |
+| 0.9997        | 1.0522 | 1400 | 0.9600          |
+| 0.9962        | 1.2026 | 1600 | 0.9483          |
+| 0.9833        | 1.3529 | 1800 | 0.9364          |
+| 0.9805        | 1.5032 | 2000 | 0.9252          |
+| 0.9747        | 1.6535 | 2200 | 0.9198          |
+| 0.9509        | 1.8038 | 2400 | 0.9072          |
+| 0.9481        | 1.9542 | 2600 | 0.9021          |
+| 0.9091        | 2.1045 | 2800 | 0.9018          |
+| 0.8928        | 2.2548 | 3000 | 0.8929          |
+| 0.8949        | 2.4051 | 3200 | 0.8905          |
+| 0.9086        | 2.5554 | 3400 | 0.8908          |
+| 0.9014        | 2.7057 | 3600 | 0.8885          |
+| 0.8789        | 2.8561 | 3800 | 0.8882          |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "base_model_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "bias": "none",
+  "enable_lora": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "lora_alpha": 64,
+  "lora_dropout": 0.5,
+  "merge_weights": false,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj",
+    "gate_proj",
+    "up_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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model.safetensors

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training_args.bin

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