Model save

README.md

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+---
+base_model: Qwen/Qwen2-1.5B
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: sft_loraMoE_-lora-sft_Qwen2-1.5B_lr-1e-3
+  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"/>]()
+# sft_loraMoE_-lora-sft_Qwen2-1.5B_lr-1e-3
+
+This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on the None dataset.
+
+## 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: 0.001
+- train_batch_size: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_0/adapter_config.json

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+  "base_model_name_or_path": "Qwen/Qwen2-1.5B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "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",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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adapter_1/adapter_config.json

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+  "alpha_pattern": {},
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+  "base_model_name_or_path": "Qwen/Qwen2-1.5B",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
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+  "megatron_core": "megatron.core",
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+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
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+  "use_dora": false,
+  "use_rslora": false
+}

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adapter_2/adapter_config.json

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+  "base_model_name_or_path": "Qwen/Qwen2-1.5B",
+  "bias": "none",
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+  "target_modules": [
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+    "q_proj"
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adapter_3/adapter_config.json

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adapter_4/adapter_config.json

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adapter_5/adapter_config.json

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adapter_6/adapter_config.json

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adapter_7/adapter_config.json

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xlora_config.json

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