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: Phi0503HMA26
+  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. -->
+
+# Phi0503HMA26
+
+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: 0.0793
+
+## 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: 80
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 4.0777        | 0.09  | 10   | 0.4600          |
+| 0.2898        | 0.18  | 20   | 0.2397          |
+| 0.2373        | 0.27  | 30   | 0.2282          |
+| 0.2193        | 0.36  | 40   | 0.2107          |
+| 0.2103        | 0.45  | 50   | 0.2865          |
+| 0.1796        | 0.54  | 60   | 0.1327          |
+| 1.8078        | 0.63  | 70   | 1.0824          |
+| 0.2232        | 0.73  | 80   | 0.0985          |
+| 0.1319        | 0.82  | 90   | 0.1969          |
+| 0.1317        | 0.91  | 100  | 0.1082          |
+| 0.0954        | 1.0   | 110  | 0.1045          |
+| 0.0735        | 1.09  | 120  | 0.0701          |
+| 0.07          | 1.18  | 130  | 0.0840          |
+| 0.0742        | 1.27  | 140  | 0.0764          |
+| 0.0699        | 1.36  | 150  | 0.0727          |
+| 0.0727        | 1.45  | 160  | 0.0744          |
+| 0.0642        | 1.54  | 170  | 0.0733          |
+| 0.0702        | 1.63  | 180  | 0.0726          |
+| 0.0657        | 1.72  | 190  | 0.0670          |
+| 0.0605        | 1.81  | 200  | 0.0661          |
+| 0.0625        | 1.9   | 210  | 0.0747          |
+| 0.0603        | 1.99  | 220  | 0.0679          |
+| 0.0318        | 2.08  | 230  | 0.0775          |
+| 0.0275        | 2.18  | 240  | 0.0901          |
+| 0.026         | 2.27  | 250  | 0.0907          |
+| 0.023         | 2.36  | 260  | 0.0831          |
+| 0.0281        | 2.45  | 270  | 0.0792          |
+| 0.0197        | 2.54  | 280  | 0.0813          |
+| 0.0203        | 2.63  | 290  | 0.0850          |
+| 0.0281        | 2.72  | 300  | 0.0830          |
+| 0.0277        | 2.81  | 310  | 0.0809          |
+| 0.0248        | 2.9   | 320  | 0.0798          |
+| 0.0257        | 2.99  | 330  | 0.0793          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.0

adapter_config.json

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+  "adaptive_ratio_decay": 1.0,
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+  "allow_empty_lora": false,
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "bias": "none",
+  "curr_learning": true,
+  "detached_training": true,
+  "dynamic_adapter_pool": true,
+  "enable_lora": null,
+  "encoder_hidden_size": 3072,
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+  "lora_dropout": 0.05,
+  "merge_weights": false,
+  "modules_to_save": null,
+  "num_attention_heads": 32,
+  "num_layers": 32,
+  "num_prefix_set": 3,
+  "num_transformer_submodules": 1,
+  "num_virtual_tokens": 30,
+  "number_of_adapter_pre_layer": 8,
+  "ot_diversified_dispatcher": false,
+  "ot_diversified_prefix": false,
+  "peft_type": "PREFIX_MA_LORA",
+  "pool_selective_inference": true,
+  "pool_selective_training": true,
+  "prefix_projection": true,
+  "r": 8,
+  "random_routing": false,
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+  "scale": 64,
+  "selective_num": 8,
+  "simple_hidden_matching": false,
+  "simple_instance_matching": true,
+  "target_modules": [
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+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "token_dim": 3072
+}

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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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