commit

README.md

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+---
+base_model: microsoft/Phi-3.5-mini-instruct
+library_name: peft
+license: mit
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: Phi-3.5-MultiCap-6
+  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. -->
+
+# Phi-3.5-MultiCap-6
+
+This model is a fine-tuned version of [microsoft/Phi-3.5-mini-instruct](https://huggingface.co/microsoft/Phi-3.5-mini-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5045
+
+## 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: 16
+- 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: linear
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9384        | 0.2256 | 50   | 0.9431          |
+| 0.6189        | 0.4512 | 100  | 0.6235          |
+| 0.5667        | 0.6768 | 150  | 0.5738          |
+| 0.6109        | 0.9024 | 200  | 0.5533          |
+| 0.537         | 1.1280 | 250  | 0.5418          |
+| 0.5254        | 1.3536 | 300  | 0.5341          |
+| 0.495         | 1.5792 | 350  | 0.5288          |
+| 0.5414        | 1.8049 | 400  | 0.5243          |
+| 0.5285        | 2.0305 | 450  | 0.5212          |
+| 0.4729        | 2.2561 | 500  | 0.5180          |
+| 0.5167        | 2.4817 | 550  | 0.5161          |
+| 0.5228        | 2.7073 | 600  | 0.5141          |
+| 0.5321        | 2.9329 | 650  | 0.5124          |
+| 0.5212        | 3.1585 | 700  | 0.5112          |
+| 0.5052        | 3.3841 | 750  | 0.5097          |
+| 0.4826        | 3.6097 | 800  | 0.5088          |
+| 0.5118        | 3.8353 | 850  | 0.5079          |
+| 0.4957        | 4.0609 | 900  | 0.5071          |
+| 0.4779        | 4.2865 | 950  | 0.5065          |
+| 0.4888        | 4.5121 | 1000 | 0.5061          |
+| 0.52          | 4.7377 | 1050 | 0.5055          |
+| 0.4892        | 4.9633 | 1100 | 0.5052          |
+| 0.4881        | 5.1889 | 1150 | 0.5051          |
+| 0.5071        | 5.4146 | 1200 | 0.5047          |
+| 0.515         | 5.6402 | 1250 | 0.5046          |
+| 0.491         | 5.8658 | 1300 | 0.5045          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3.5-mini-instruct",
+  "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": 16,
+  "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": [
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+    "up_proj",
+    "gate_proj",
+    "o_proj",
+    "v_proj",
+    "k_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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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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