End of training

README.md

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+---
+language:
+- ar
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- dalyaff/darebah-2K
+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 dalyaff/darebah-2K dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5861
+
+## 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: 2
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- training_steps: 2500
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2333        | 0.44  | 100  | 1.1475          |
+| 1.0155        | 0.89  | 200  | 0.9995          |
+| 0.9331        | 1.33  | 300  | 0.9305          |
+| 0.8308        | 1.78  | 400  | 0.8755          |
+| 0.7955        | 2.22  | 500  | 0.8337          |
+| 0.7788        | 2.67  | 600  | 0.7974          |
+| 0.7205        | 3.11  | 700  | 0.7685          |
+| 0.7588        | 3.56  | 800  | 0.7405          |
+| 0.7154        | 4.0   | 900  | 0.7193          |
+| 0.6913        | 4.44  | 1000 | 0.7022          |
+| 0.6049        | 4.89  | 1100 | 0.6864          |
+| 0.6546        | 5.33  | 1200 | 0.6672          |
+| 0.6406        | 5.78  | 1300 | 0.6576          |
+| 0.6237        | 6.22  | 1400 | 0.6433          |
+| 0.6016        | 6.67  | 1500 | 0.6313          |
+| 0.5746        | 7.11  | 1600 | 0.6263          |
+| 0.5786        | 7.56  | 1700 | 0.6156          |
+| 0.592         | 8.0   | 1800 | 0.6087          |
+| 0.5908        | 8.44  | 1900 | 0.6030          |
+| 0.598         | 8.89  | 2000 | 0.5980          |
+| 0.5998        | 9.33  | 2100 | 0.5937          |
+| 0.5859        | 9.78  | 2200 | 0.5909          |
+| 0.5767        | 10.22 | 2300 | 0.5888          |
+| 0.5786        | 10.67 | 2400 | 0.5872          |
+| 0.5911        | 11.11 | 2500 | 0.5861          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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": [
+    "Wqkv",
+    "fc1",
+    "fc2"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 26230352

training_args.bin

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