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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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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: microsoft/phi-2 |
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model-index: |
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- name: phi-2-ipo-test-iter-0 |
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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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# phi-2-ipo-test-iter-0 |
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2546.4375 |
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- Rewards/chosen: -0.1591 |
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- Rewards/rejected: -0.1612 |
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- Rewards/accuracies: 0.5220 |
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- Rewards/margins: 0.0021 |
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- Logps/rejected: -249.6534 |
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- Logps/chosen: -272.5227 |
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- Logits/rejected: 0.4171 |
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- Logits/chosen: 0.3526 |
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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-06 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_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: 4 |
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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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| 2477.3281 | 0.32 | 100 | 2500.7156 | -0.0018 | -0.0018 | 0.4930 | -0.0000 | -233.7207 | -256.7978 | 0.8796 | 0.8221 | |
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| 2224.3488 | 0.64 | 200 | 2499.8904 | -0.0195 | -0.0198 | 0.5015 | 0.0003 | -235.5204 | -258.5673 | 0.8051 | 0.7462 | |
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| 1898.0719 | 0.96 | 300 | 2505.6912 | -0.0563 | -0.0571 | 0.5140 | 0.0008 | -239.2530 | -262.2491 | 0.6844 | 0.6233 | |
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| 1879.8852 | 1.28 | 400 | 2516.0835 | -0.0944 | -0.0957 | 0.5200 | 0.0013 | -243.1053 | -266.0533 | 0.5839 | 0.5215 | |
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| 1917.2811 | 1.6 | 500 | 2527.1995 | -0.1156 | -0.1170 | 0.5115 | 0.0014 | -245.2343 | -268.1747 | 0.5244 | 0.4611 | |
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| 1799.3824 | 1.92 | 600 | 2534.4292 | -0.1363 | -0.1381 | 0.5210 | 0.0018 | -247.3504 | -270.2482 | 0.4714 | 0.4075 | |
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| 1751.5762 | 2.24 | 700 | 2531.3550 | -0.1448 | -0.1474 | 0.5180 | 0.0026 | -248.2780 | -271.0988 | 0.4545 | 0.3906 | |
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| 1711.1711 | 2.56 | 800 | 2536.2451 | -0.1487 | -0.1511 | 0.5145 | 0.0024 | -248.6440 | -271.4834 | 0.4402 | 0.3759 | |
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| 1894.4447 | 2.88 | 900 | 2542.6299 | -0.1549 | -0.1570 | 0.5235 | 0.0022 | -249.2417 | -272.1000 | 0.4262 | 0.3618 | |
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| 1798.5389 | 3.2 | 1000 | 2542.7288 | -0.1581 | -0.1604 | 0.5205 | 0.0023 | -249.5780 | -272.4200 | 0.4202 | 0.3559 | |
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| 1834.9711 | 3.52 | 1100 | 2542.2373 | -0.1586 | -0.1610 | 0.5205 | 0.0024 | -249.6345 | -272.4703 | 0.4177 | 0.3532 | |
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| 1765.5148 | 3.84 | 1200 | 2546.1714 | -0.1589 | -0.1610 | 0.5220 | 0.0021 | -249.6357 | -272.5010 | 0.4160 | 0.3515 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
