End of training

README.md

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+---
+language:
+- ar
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- dalyaff/darebah
+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 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7781
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1114        | 0.89  | 100  | 1.0073          |
+| 0.8772        | 1.78  | 200  | 0.8791          |
+| 0.7638        | 2.67  | 300  | 0.8327          |
+| 0.7518        | 3.56  | 400  | 0.8077          |
+| 0.6624        | 4.44  | 500  | 0.7896          |
+| 0.6386        | 5.33  | 600  | 0.7826          |
+| 0.6161        | 6.22  | 700  | 0.7677          |
+| 0.6053        | 7.11  | 800  | 0.7669          |
+| 0.5725        | 8.0   | 900  | 0.7640          |
+| 0.5569        | 8.89  | 1000 | 0.7705          |
+| 0.5303        | 9.78  | 1100 | 0.7691          |
+| 0.546         | 10.67 | 1200 | 0.7671          |
+| 0.5331        | 11.56 | 1300 | 0.7696          |
+| 0.5142        | 12.44 | 1400 | 0.7670          |
+| 0.5037        | 13.33 | 1500 | 0.7713          |
+| 0.4938        | 14.22 | 1600 | 0.7686          |
+| 0.4879        | 15.11 | 1700 | 0.7733          |
+| 0.4743        | 16.0  | 1800 | 0.7730          |
+| 0.4705        | 16.89 | 1900 | 0.7739          |
+| 0.4942        | 17.78 | 2000 | 0.7770          |
+| 0.4669        | 18.67 | 2100 | 0.7709          |
+| 0.462         | 19.56 | 2200 | 0.7788          |
+| 0.4667        | 20.44 | 2300 | 0.7783          |
+| 0.4638        | 21.33 | 2400 | 0.7754          |
+| 0.4512        | 22.22 | 2500 | 0.7781          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.38.0.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": [
+    "fc2",
+    "fc1",
+    "Wqkv"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 26230352

training_args.bin

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