End of training

README.md

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+---
+language:
+- ar
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- dalyaa/darebah2400
+base_model: dalyaff/phi2-QA-Arabic-phi
+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 dalyaa/darebah2400 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8341
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0567        | 0.4   | 100  | 1.0257          |
+| 0.9463        | 0.8   | 200  | 0.9571          |
+| 0.8397        | 1.2   | 300  | 0.9297          |
+| 0.7876        | 1.6   | 400  | 0.9042          |
+| 0.7484        | 2.0   | 500  | 0.8973          |
+| 0.7301        | 2.4   | 600  | 0.8804          |
+| 0.7023        | 2.8   | 700  | 0.8712          |
+| 0.6604        | 3.2   | 800  | 0.8652          |
+| 0.6727        | 3.6   | 900  | 0.8578          |
+| 0.6542        | 4.0   | 1000 | 0.8549          |
+| 0.6474        | 4.4   | 1100 | 0.8533          |
+| 0.6208        | 4.8   | 1200 | 0.8503          |
+| 0.6022        | 5.2   | 1300 | 0.8429          |
+| 0.5997        | 5.6   | 1400 | 0.8488          |
+| 0.6399        | 6.0   | 1500 | 0.8389          |
+| 0.6273        | 6.4   | 1600 | 0.8410          |
+| 0.5854        | 6.8   | 1700 | 0.8422          |
+| 0.6062        | 7.2   | 1800 | 0.8360          |
+| 0.5958        | 7.6   | 1900 | 0.8363          |
+| 0.5933        | 8.0   | 2000 | 0.8403          |
+| 0.5905        | 8.4   | 2100 | 0.8388          |
+| 0.5604        | 8.8   | 2200 | 0.8366          |
+| 0.572         | 9.2   | 2300 | 0.8349          |
+| 0.5764        | 9.6   | 2400 | 0.8365          |
+| 0.5926        | 10.0  | 2500 | 0.8341          |
+
+
+### Framework versions
+
+- PEFT 0.8.2
+- 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": "dalyaff/phi2-QA-Arabic-phi",
+  "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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