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--- |
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license: apache-2.0 |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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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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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- Dahoas/full-hh-rlhf |
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model-index: |
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- name: Mistral-7B-Instruct-v0.2-DPO |
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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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# Mistral-7B-Instruct-v0.2-DPO |
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This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the Dahoas/full-hh-rlhf dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5782 |
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- Rewards/chosen: -0.2120 |
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- Rewards/rejected: -0.7002 |
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- Rewards/accuracies: 0.6926 |
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- Rewards/margins: 0.4883 |
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- Logps/rejected: -296.2612 |
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- Logps/chosen: -255.5737 |
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- Logits/rejected: -2.4985 |
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- Logits/chosen: -2.5472 |
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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: 8 |
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- eval_batch_size: 8 |
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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: 2 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 32 |
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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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| 0.6628 | 0.06 | 100 | 0.6611 | 0.1337 | 0.0489 | 0.6317 | 0.0848 | -221.3471 | -221.0088 | -2.6721 | -2.7152 | |
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| 0.6203 | 0.11 | 200 | 0.6121 | -0.0960 | -0.4057 | 0.6609 | 0.3097 | -266.8084 | -243.9758 | -2.6213 | -2.6775 | |
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| 0.6134 | 0.17 | 300 | 0.6074 | -0.0623 | -0.3733 | 0.6702 | 0.3111 | -263.5724 | -240.6045 | -2.7988 | -2.8551 | |
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| 0.5967 | 0.23 | 400 | 0.5992 | -0.1315 | -0.5181 | 0.6782 | 0.3866 | -278.0497 | -247.5236 | -2.4576 | -2.5191 | |
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| 0.6216 | 0.29 | 500 | 0.5941 | -0.0370 | -0.4146 | 0.6721 | 0.3775 | -267.6940 | -238.0781 | -2.6879 | -2.7311 | |
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| 0.5919 | 0.34 | 600 | 0.5904 | -0.1509 | -0.5767 | 0.6865 | 0.4258 | -283.9072 | -249.4699 | -2.4044 | -2.4745 | |
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| 0.5769 | 0.4 | 700 | 0.5902 | -0.2407 | -0.6647 | 0.6772 | 0.4240 | -292.7129 | -258.4496 | -2.2190 | -2.2924 | |
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| 0.5725 | 0.46 | 800 | 0.5882 | -0.0462 | -0.4830 | 0.6837 | 0.4368 | -274.5383 | -238.9940 | -2.5276 | -2.5732 | |
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| 0.5814 | 0.51 | 900 | 0.5864 | -0.1178 | -0.5375 | 0.6811 | 0.4197 | -279.9914 | -246.1586 | -2.3355 | -2.4098 | |
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| 0.5514 | 0.57 | 1000 | 0.5839 | -0.1827 | -0.6505 | 0.6872 | 0.4678 | -291.2902 | -252.6515 | -2.4115 | -2.4855 | |
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| 0.5946 | 0.63 | 1100 | 0.5846 | -0.0669 | -0.5120 | 0.6846 | 0.4451 | -277.4430 | -241.0672 | -2.4475 | -2.5090 | |
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| 0.5988 | 0.69 | 1200 | 0.5829 | -0.2676 | -0.7315 | 0.6891 | 0.4638 | -299.3864 | -261.1408 | -2.4703 | -2.5293 | |
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| 0.5725 | 0.74 | 1300 | 0.5809 | -0.1107 | -0.5656 | 0.6878 | 0.4549 | -282.7961 | -245.4460 | -2.4590 | -2.5131 | |
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| 0.5719 | 0.8 | 1400 | 0.5793 | -0.2111 | -0.6982 | 0.6894 | 0.4871 | -296.0592 | -255.4868 | -2.4585 | -2.5096 | |
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| 0.5702 | 0.86 | 1500 | 0.5789 | -0.2663 | -0.7548 | 0.6888 | 0.4884 | -301.7152 | -261.0100 | -2.4746 | -2.5243 | |
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| 0.5854 | 0.91 | 1600 | 0.5783 | -0.2282 | -0.7193 | 0.6913 | 0.4911 | -298.1695 | -257.1977 | -2.5037 | -2.5523 | |
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| 0.578 | 0.97 | 1700 | 0.5782 | -0.2135 | -0.7018 | 0.6920 | 0.4884 | -296.4236 | -255.7232 | -2.4987 | -2.5475 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
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