Training completed!

README.md

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+---
+license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+tags:
+- generated_from_trainer
+model-index:
+- name: Mistral-7B-Instruct-v0.3-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/9c3s4ewl)
+# Mistral-7B-Instruct-v0.3-lora-commonsense
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6863
+
+## 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8738        | 0.1503 | 200  | 0.8158          |
+| 0.8589        | 0.3006 | 400  | 0.7939          |
+| 0.8589        | 0.4510 | 600  | 0.7800          |
+| 0.8589        | 0.6013 | 800  | 0.7725          |
+| 0.8305        | 0.7516 | 1000 | 0.7650          |
+| 0.8331        | 0.9019 | 1200 | 0.7506          |
+| 0.7808        | 1.0522 | 1400 | 0.7438          |
+| 0.7781        | 1.2026 | 1600 | 0.7350          |
+| 0.7647        | 1.3529 | 1800 | 0.7252          |
+| 0.7651        | 1.5032 | 2000 | 0.7228          |
+| 0.7522        | 1.6535 | 2200 | 0.7099          |
+| 0.7587        | 1.8038 | 2400 | 0.6997          |
+| 0.7383        | 1.9542 | 2600 | 0.6932          |
+| 0.7071        | 2.1045 | 2800 | 0.6949          |
+| 0.6919        | 2.2548 | 3000 | 0.6899          |
+| 0.7136        | 2.4051 | 3200 | 0.6884          |
+| 0.6912        | 2.5554 | 3400 | 0.6878          |
+| 0.6889        | 2.7057 | 3600 | 0.6867          |
+| 0.6862        | 2.8561 | 3800 | 0.6863          |
+
+
+### 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": "mistralai/Mistral-7B-Instruct-v0.3",
+  "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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