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--- |
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license: apache-2.0 |
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base_model: mosaicml/mpt-7b-instruct |
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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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model-index: |
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- name: mpt_1000_STEPS_1e5_rate_03_beta_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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# mpt_1000_STEPS_1e5_rate_03_beta_DPO |
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This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co./mosaicml/mpt-7b-instruct) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6933 |
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- Rewards/chosen: -0.0008 |
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- Rewards/rejected: -0.0019 |
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- Rewards/accuracies: 0.5187 |
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- Rewards/margins: 0.0011 |
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- Logps/rejected: -21.5638 |
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- Logps/chosen: -20.7947 |
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- Logits/rejected: 14.2524 |
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- Logits/chosen: 14.2550 |
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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: 1e-08 |
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- train_batch_size: 2 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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_steps: 100 |
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- training_steps: 1000 |
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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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| 0.6965 | 0.1 | 100 | 0.6951 | -0.0017 | 0.0013 | 0.4681 | -0.0029 | -21.5532 | -20.7977 | 14.2557 | 14.2583 | |
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| 0.6918 | 0.2 | 200 | 0.6942 | -0.0054 | -0.0044 | 0.5011 | -0.0010 | -21.5722 | -20.8104 | 14.2575 | 14.2601 | |
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| 0.6965 | 0.29 | 300 | 0.6941 | -0.0016 | -0.0010 | 0.4945 | -0.0006 | -21.5608 | -20.7975 | 14.2549 | 14.2575 | |
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| 0.6906 | 0.39 | 400 | 0.6946 | 0.0001 | 0.0020 | 0.4747 | -0.0019 | -21.5507 | -20.7919 | 14.2494 | 14.2520 | |
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| 0.6883 | 0.49 | 500 | 0.6972 | -0.0019 | 0.0050 | 0.4484 | -0.0069 | -21.5408 | -20.7986 | 14.2521 | 14.2547 | |
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| 0.6867 | 0.59 | 600 | 0.6969 | -0.0054 | 0.0010 | 0.4418 | -0.0064 | -21.5541 | -20.8103 | 14.2502 | 14.2528 | |
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| 0.6937 | 0.68 | 700 | 0.6939 | 0.0015 | 0.0020 | 0.5275 | -0.0005 | -21.5508 | -20.7871 | 14.2547 | 14.2573 | |
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| 0.6855 | 0.78 | 800 | 0.6933 | -0.0008 | -0.0017 | 0.5099 | 0.0009 | -21.5631 | -20.7947 | 14.2522 | 14.2548 | |
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| 0.6918 | 0.88 | 900 | 0.6933 | -0.0008 | -0.0019 | 0.5187 | 0.0011 | -21.5638 | -20.7947 | 14.2524 | 14.2550 | |
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| 0.6957 | 0.98 | 1000 | 0.6933 | -0.0008 | -0.0019 | 0.5187 | 0.0011 | -21.5638 | -20.7947 | 14.2524 | 14.2550 | |
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### Framework versions |
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- Transformers 4.39.1 |
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- Pytorch 2.0.0+cu117 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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