End of training

README.md

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+---
+license: mit
+base_model: microsoft/Phi-3-mini-4k-instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: Phi0503MA2
+  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. -->
+
+# Phi0503MA2
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0832
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.7578        | 0.09  | 10   | 0.9244          |
+| 0.4383        | 0.18  | 20   | 0.1617          |
+| 0.1537        | 0.27  | 30   | 0.1389          |
+| 0.1365        | 0.36  | 40   | 0.1165          |
+| 0.1071        | 0.45  | 50   | 0.0962          |
+| 0.1021        | 0.54  | 60   | 0.0964          |
+| 0.0866        | 0.63  | 70   | 0.0848          |
+| 0.0997        | 0.73  | 80   | 0.0891          |
+| 0.08          | 0.82  | 90   | 0.0861          |
+| 0.0813        | 0.91  | 100  | 0.0706          |
+| 0.0675        | 1.0   | 110  | 0.0656          |
+| 0.0626        | 1.09  | 120  | 0.0832          |
+| 0.0641        | 1.18  | 130  | 0.0733          |
+| 0.0693        | 1.27  | 140  | 0.0679          |
+| 0.055         | 1.36  | 150  | 0.0745          |
+| 0.0572        | 1.45  | 160  | 0.0603          |
+| 0.0487        | 1.54  | 170  | 0.0614          |
+| 0.0501        | 1.63  | 180  | 0.0610          |
+| 0.0456        | 1.72  | 190  | 0.0660          |
+| 0.0496        | 1.81  | 200  | 0.0626          |
+| 0.0415        | 1.9   | 210  | 0.0626          |
+| 0.0463        | 1.99  | 220  | 0.0663          |
+| 0.0241        | 2.08  | 230  | 0.0741          |
+| 0.0216        | 2.18  | 240  | 0.0932          |
+| 0.0186        | 2.27  | 250  | 0.0979          |
+| 0.0166        | 2.36  | 260  | 0.0852          |
+| 0.0207        | 2.45  | 270  | 0.0819          |
+| 0.0148        | 2.54  | 280  | 0.0857          |
+| 0.0189        | 2.63  | 290  | 0.0866          |
+| 0.0226        | 2.72  | 300  | 0.0844          |
+| 0.0229        | 2.81  | 310  | 0.0841          |
+| 0.02          | 2.9   | 320  | 0.0833          |
+| 0.0187        | 2.99  | 330  | 0.0832          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+  "adaptive_ratio_decay": 1.0,
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "bias": "none",
+  "dynamic_adapter_pool": true,
+  "enable_lora": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "input_based_adapter_selection": true,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "merge_weights": false,
+  "modules_to_save": null,
+  "number_of_adapter_pre_layer": 8,
+  "ot_diversified_dispatcher": false,
+  "peft_type": "MA_LORA",
+  "pool_selective_inference": true,
+  "pool_selective_training": true,
+  "r": 8,
+  "random_routing": false,
+  "random_routing_inference": false,
+  "selective_num": 8,
+  "simple_hidden_matching": false,
+  "simple_instance_matching": true,
+  "target_modules": [
+    "qkv_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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added_tokens.json

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special_tokens_map.json

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tokenizer_config.json

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