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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: mistralai/Mistral-7B-v0.1 |
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datasets: |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: zephyr-7b-gpo-u3-i1 |
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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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# zephyr-7b-gpo-u3-i1 |
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This model is a fine-tuned version of [DUAL-GPO/zephyr-7b-gpo-update3-i0](https://huggingface.co/DUAL-GPO/zephyr-7b-gpo-update3-i0) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0976 |
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- Rewards/chosen: -0.2046 |
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- Rewards/rejected: -0.1684 |
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- Rewards/accuracies: 0.3440 |
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- Rewards/margins: -0.0362 |
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- Logps/rejected: -271.7846 |
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- Logps/chosen: -287.1580 |
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- Logits/rejected: -1.8253 |
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- Logits/chosen: -1.9851 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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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: 5 |
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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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| 0.3803 | 0.4 | 100 | 0.0537 | 0.0 | 0.0 | 0.0 | 0.0 | -254.9398 | -266.6976 | -1.8067 | -1.9618 | |
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| 0.2732 | 0.8 | 200 | 0.0585 | -0.0406 | -0.0433 | 0.4405 | 0.0028 | -259.2744 | -270.7553 | -1.8367 | -1.9952 | |
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| 0.3013 | 1.2 | 300 | 0.0800 | -0.3312 | -0.3632 | 0.4645 | 0.0319 | -291.2575 | -299.8226 | -1.8131 | -1.9752 | |
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| 0.3433 | 1.6 | 400 | 0.0812 | -0.3364 | -0.3695 | 0.4675 | 0.0331 | -291.8892 | -300.3361 | -1.8102 | -1.9721 | |
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| 0.3606 | 2.0 | 500 | 0.1100 | -0.3181 | -0.2920 | 0.3735 | -0.0262 | -284.1371 | -298.5123 | -1.8348 | -1.9970 | |
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| 0.3038 | 2.4 | 600 | 0.1092 | -0.3233 | -0.2979 | 0.3770 | -0.0254 | -284.7261 | -299.0256 | -1.8317 | -1.9936 | |
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| 0.3161 | 2.8 | 700 | 0.1069 | -0.3172 | -0.2929 | 0.3800 | -0.0243 | -284.2322 | -298.4158 | -1.8345 | -1.9966 | |
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| 0.3852 | 3.2 | 800 | 0.0918 | -0.2304 | -0.2057 | 0.3685 | -0.0247 | -275.5103 | -289.7388 | -1.8409 | -2.0019 | |
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| 0.3359 | 3.6 | 900 | 0.0983 | -0.2063 | -0.1696 | 0.3430 | -0.0368 | -271.8958 | -287.3323 | -1.8240 | -1.9838 | |
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| 0.3701 | 4.0 | 1000 | 0.0982 | -0.2062 | -0.1693 | 0.3455 | -0.0368 | -271.8734 | -287.3159 | -1.8241 | -1.9838 | |
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| 0.4025 | 4.4 | 1100 | 0.0975 | -0.2047 | -0.1687 | 0.3455 | -0.0359 | -271.8127 | -287.1649 | -1.8260 | -1.9858 | |
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| 0.3754 | 4.8 | 1200 | 0.0974 | -0.2044 | -0.1685 | 0.3440 | -0.0359 | -271.7890 | -287.1331 | -1.8256 | -1.9853 | |
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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 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
