davidberenstein1957/microsoft/phi-2

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+base_model: microsoft/phi-2
+model-index:
+- name: phi-2-distilabeled-intel-orca-dpo
+  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-distilabeled-intel-orca-dpo
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3007
+- Rewards/chosen: 0.0679
+- Rewards/rejected: -1.3058
+- Rewards/accuracies: 0.9265
+- Rewards/margins: 1.3737
+- Logps/rejected: -265.9995
+- Logps/chosen: -117.6325
+- Logits/rejected: 0.3789
+- Logits/chosen: 0.3129
+
+## 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: 1e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- training_steps: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6803        | 0.06  | 20   | 0.6533          | 0.0100         | -0.0741          | 0.8386             | 0.0841          | -253.6825      | -118.2115    | 0.3760          | 0.3395        |
+| 0.5855        | 0.12  | 40   | 0.5133          | 0.0376         | -0.3927          | 0.9195             | 0.4303          | -256.8685      | -117.9349    | 0.3829          | 0.3363        |
+| 0.452         | 0.19  | 60   | 0.3846          | 0.0620         | -0.8319          | 0.9246             | 0.8938          | -261.2602      | -117.6917    | 0.3875          | 0.3290        |
+| 0.3538        | 0.25  | 80   | 0.3200          | 0.0716         | -1.1689          | 0.9269             | 1.2405          | -264.6308      | -117.5958    | 0.3836          | 0.3189        |
+| 0.295         | 0.31  | 100  | 0.3007          | 0.0679         | -1.3058          | 0.9265             | 1.3737          | -265.9995      | -117.6325    | 0.3789          | 0.3129        |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.37.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

adapter_config.json

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+  "base_model_name_or_path": "microsoft/phi-2",
+  "bias": "none",
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+  "loftq_config": {},
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+  ],
+  "task_type": "CAUSAL_LM"
+}

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