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--- |
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license: mit |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: microsoft/Phi-3-mini-4k-instruct |
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model-index: |
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- name: phi3-offline-dpo-lora-noise-0.0-5e-7-thre-1.5-42 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/causal/huggingface/runs/3pqwimtf) |
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# phi3-offline-dpo-lora-noise-0.0-5e-7-thre-1.5-42 |
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This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6130 |
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- Rewards/chosen: -0.4194 |
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- Rewards/rejected: -0.5933 |
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- Rewards/accuracies: 0.7540 |
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- Rewards/margins: 0.1739 |
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- Logps/rejected: -459.6432 |
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- Logps/chosen: -448.1436 |
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- Logits/rejected: 12.5287 |
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- Logits/chosen: 13.8414 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6885 | 0.1778 | 100 | 0.6884 | -0.0158 | -0.0244 | 0.6190 | 0.0086 | -402.7496 | -407.7805 | 12.8305 | 14.2621 | |
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| 0.6712 | 0.3556 | 200 | 0.6680 | -0.0971 | -0.1464 | 0.7937 | 0.0493 | -414.9504 | -415.9148 | 12.6482 | 14.0845 | |
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| 0.6339 | 0.5333 | 300 | 0.6389 | -0.2593 | -0.3712 | 0.7540 | 0.1119 | -437.4307 | -432.1300 | 12.8556 | 14.1744 | |
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| 0.6203 | 0.7111 | 400 | 0.6203 | -0.3738 | -0.5313 | 0.7540 | 0.1575 | -453.4457 | -443.5887 | 12.6256 | 13.9444 | |
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| 0.6102 | 0.8889 | 500 | 0.6131 | -0.4150 | -0.5892 | 0.7540 | 0.1743 | -459.2376 | -447.7001 | 12.5314 | 13.8427 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.42.3 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.19.1 |
