End of training

README.md

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+---
+language:
+- en
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- Open-Orca/OpenOrca
+base_model: microsoft/phi-2
+model-index:
+- name: phi-2
+  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-2
+
+This model is a fine-tuned version of [microsoftl](https://huggingface.co/microsoftl) on the Open-Orca/OpenOrca dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6236
+
+## 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: 2.5e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.0884        | 0.2   | 50   | 1.9608          |
+| 2.0157        | 0.4   | 100  | 1.7828          |
+| 1.6203        | 0.6   | 150  | 1.7023          |
+| 1.7122        | 0.8   | 200  | 1.6731          |
+| 1.6622        | 1.0   | 250  | 1.6593          |
+| 1.6149        | 1.2   | 300  | 1.6532          |
+| 1.5907        | 1.4   | 350  | 1.6480          |
+| 1.5713        | 1.6   | 400  | 1.6429          |
+| 1.5579        | 1.8   | 450  | 1.6394          |
+| 1.6403        | 2.0   | 500  | 1.6361          |
+| 1.6505        | 2.2   | 550  | 1.6334          |
+| 1.5505        | 2.4   | 600  | 1.6315          |
+| 1.5232        | 2.6   | 650  | 1.6300          |
+| 1.6129        | 2.8   | 700  | 1.6278          |
+| 1.5062        | 3.0   | 750  | 1.6267          |
+| 1.6031        | 3.2   | 800  | 1.6254          |
+| 1.5404        | 3.4   | 850  | 1.6254          |
+| 1.6157        | 3.6   | 900  | 1.6242          |
+| 1.5541        | 3.8   | 950  | 1.6238          |
+| 1.471         | 4.0   | 1000 | 1.6236          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/phi-2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "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": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "fc1",
+    "Wqkv",
+    "fc2"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 26230352

training_args.bin

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