End of training

README.md

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+---
+language:
+- ar
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- dalyaa/darebah6700
+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 dalyaa/darebah6700 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8023
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2748        | 0.15  | 100  | 1.1349          |
+| 1.1095        | 0.29  | 200  | 1.0077          |
+| 1.0138        | 0.44  | 300  | 0.9587          |
+| 0.9506        | 0.58  | 400  | 0.9188          |
+| 0.9047        | 0.73  | 500  | 0.8906          |
+| 0.9017        | 0.87  | 600  | 0.8722          |
+| 0.8872        | 1.02  | 700  | 0.8660          |
+| 0.8744        | 1.16  | 800  | 0.8501          |
+| 0.8221        | 1.31  | 900  | 0.8472          |
+| 0.8356        | 1.45  | 1000 | 0.8380          |
+| 0.8335        | 1.6   | 1100 | 0.8317          |
+| 0.828         | 1.75  | 1200 | 0.8273          |
+| 0.8307        | 1.89  | 1300 | 0.8231          |
+| 0.8147        | 2.04  | 1400 | 0.8185          |
+| 0.8012        | 2.18  | 1500 | 0.8139          |
+| 0.7885        | 2.33  | 1600 | 0.8129          |
+| 0.7831        | 2.47  | 1700 | 0.8102          |
+| 0.7787        | 2.62  | 1800 | 0.8148          |
+| 0.7921        | 2.76  | 1900 | 0.8083          |
+| 0.7777        | 2.91  | 2000 | 0.8073          |
+| 0.7766        | 3.05  | 2100 | 0.8045          |
+| 0.7658        | 3.2   | 2200 | 0.8056          |
+| 0.7651        | 3.35  | 2300 | 0.8044          |
+| 0.7844        | 3.49  | 2400 | 0.8023          |
+| 0.7876        | 3.64  | 2500 | 0.8023          |
+
+
+### 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": "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",
+    "fc2",
+    "fc1"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 26230352

training_args.bin

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