psvishnu/Phi-3.5-mini-instruct-qlora

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-mini-instruct-qlora
+  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-mini-instruct-qlora
+
+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: 1.2826
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 0
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.01
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.5888        | 0.3333 | 10   | 1.2792          |
+| 1.0726        | 0.6667 | 20   | 0.9828          |
+| 0.888         | 1.0    | 30   | 0.9024          |
+| 0.7963        | 1.3333 | 40   | 0.8658          |
+| 0.7337        | 1.6667 | 50   | 0.8401          |
+| 0.6872        | 2.0    | 60   | 0.8318          |
+| 0.5993        | 2.3333 | 70   | 0.8555          |
+| 0.5729        | 2.6667 | 80   | 0.8428          |
+| 0.5801        | 3.0    | 90   | 0.8442          |
+| 0.4496        | 3.3333 | 100  | 0.9053          |
+| 0.4222        | 3.6667 | 110  | 0.9160          |
+| 0.4442        | 4.0    | 120  | 0.8870          |
+| 0.3334        | 4.3333 | 130  | 1.0457          |
+| 0.313         | 4.6667 | 140  | 1.0713          |
+| 0.2812        | 5.0    | 150  | 1.0192          |
+| 0.2172        | 5.3333 | 160  | 1.1357          |
+| 0.1987        | 5.6667 | 170  | 1.2162          |
+| 0.2137        | 6.0    | 180  | 1.1945          |
+| 0.1624        | 6.3333 | 190  | 1.2194          |
+| 0.1574        | 6.6667 | 200  | 1.2533          |
+| 0.1571        | 7.0    | 210  | 1.2679          |
+| 0.1379        | 7.3333 | 220  | 1.2757          |
+| 0.1386        | 7.6667 | 230  | 1.2810          |
+| 0.1356        | 8.0    | 240  | 1.2826          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.0
+- Pytorch 2.4.0
+- Datasets 3.0.2
+- Tokenizers 0.20.0

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": 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": [
+    "down_proj",
+    "o_proj",
+    "qkv_proj",
+    "gate_up_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.model

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tokenizer_config.json

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+}

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