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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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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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- alignment-handbook |
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- generated_from_trainer |
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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-dpo-full |
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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-dpo-full |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3160 |
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- Rewards/chosen: -4.1121 |
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- Rewards/rejected: -8.3353 |
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- Rewards/accuracies: 0.8201 |
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- Rewards/margins: 4.2232 |
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- Logps/rejected: -1123.6224 |
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- Logps/chosen: -702.1752 |
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- Logits/rejected: 0.5403 |
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- Logits/chosen: -0.4404 |
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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: 4 |
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- total_train_batch_size: 128 |
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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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| 0.5381 | 0.1152 | 100 | 0.4758 | -1.9882 | -2.9171 | 0.7270 | 0.9288 | -581.7981 | -489.7893 | -2.8822 | -2.9045 | |
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| 0.4268 | 0.2303 | 200 | 0.3577 | -3.9068 | -6.8487 | 0.7976 | 2.9419 | -974.9606 | -681.6494 | -0.6781 | -0.9791 | |
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| 0.4067 | 0.3455 | 300 | 0.3411 | -3.9757 | -7.6481 | 0.8094 | 3.6724 | -1054.9027 | -688.5351 | -0.6642 | -1.2474 | |
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| 0.4011 | 0.4607 | 400 | 0.3295 | -4.4449 | -8.4011 | 0.8156 | 3.9562 | -1130.1991 | -735.4550 | 0.1183 | -0.7429 | |
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| 0.3727 | 0.5759 | 500 | 0.3260 | -3.7203 | -7.6540 | 0.8161 | 3.9337 | -1055.4913 | -662.9987 | -0.4066 | -1.3009 | |
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| 0.3933 | 0.6910 | 600 | 0.3190 | -3.7331 | -7.5182 | 0.8257 | 3.7851 | -1041.9088 | -664.2776 | 0.3247 | -0.5819 | |
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| 0.3858 | 0.8062 | 700 | 0.3166 | -3.9569 | -8.0356 | 0.8246 | 4.0787 | -1093.6547 | -686.6614 | 0.3586 | -0.6058 | |
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| 0.3785 | 0.9214 | 800 | 0.3161 | -4.1174 | -8.3387 | 0.8212 | 4.2213 | -1123.9625 | -702.7068 | 0.5558 | -0.4246 | |
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### Framework versions |
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- Transformers 4.44.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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