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zephyr-7b-dpo-full

Text Generation
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  1. README.md +99 -0
  2. all_results.json +21 -0
  3. config.json +25 -0
  4. eval_results.json +16 -0
  5. generation_config.json +6 -0
  6. model-00001-of-00003.safetensors +3 -0
  7. model-00002-of-00003.safetensors +3 -0
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  9. model.safetensors.index.json +298 -0
  10. runs/Dec14_10-33-36_babel-1-23/events.out.tfevents.1702568189.babel-1-23.438538.0 +3 -0
  11. runs/Dec14_10-41-44_babel-1-23/events.out.tfevents.1702568519.babel-1-23.442543.0 +3 -0
  12. runs/Dec14_11-10-34_babel-1-23/events.out.tfevents.1702570254.babel-1-23.445486.0 +3 -0
  13. runs/Dec14_11-11-41_babel-1-23/events.out.tfevents.1702570317.babel-1-23.446316.0 +3 -0
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  16. special_tokens_map.json +30 -0
  17. tokenizer.json +0 -0
  18. tokenizer_config.json +41 -0
  19. train_results.json +8 -0
  20. trainer_state.json +0 -0
  21. training_args.bin +3 -0
README.md ADDED
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+ ---
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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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+ - generated_from_trainer
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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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+
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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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+
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+ # zephyr-7b-dpo-full
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+
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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 None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6825
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+ - Rewards/chosen: -2.3281
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+ - Rewards/rejected: -6.0108
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+ - Rewards/accuracies: 0.7620
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+ - Rewards/margins: 3.6827
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+ - Logps/rejected: -344.2271
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+ - Logps/chosen: -376.1471
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+ - Logits/rejected: -2.7465
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+ - Logits/chosen: -2.7672
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 4
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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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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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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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+ | 0.5513 | 0.1 | 100 | 0.5431 | 0.4641 | -0.1955 | 0.7660 | 0.6596 | -286.0747 | -348.2250 | -2.9049 | -2.9199 |
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+ | 0.5322 | 0.21 | 200 | 0.5251 | 0.4311 | -0.7452 | 0.7680 | 1.1764 | -291.5714 | -348.5544 | -2.9307 | -2.9476 |
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+ | 0.602 | 0.31 | 300 | 0.5439 | 0.5364 | -0.6172 | 0.7440 | 1.1536 | -290.2913 | -347.5018 | -2.9635 | -2.9952 |
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+ | 0.5809 | 0.41 | 400 | 0.5436 | 0.3841 | -0.8922 | 0.7600 | 1.2762 | -293.0408 | -349.0252 | -2.9205 | -2.9360 |
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+ | 0.5164 | 0.52 | 500 | 0.5406 | 0.3006 | -1.1405 | 0.7660 | 1.4410 | -295.5239 | -349.8603 | -3.0117 | -3.0160 |
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+ | 0.5957 | 0.62 | 600 | 0.5336 | 0.1952 | -1.0296 | 0.7380 | 1.2247 | -294.4149 | -350.9140 | -2.9353 | -2.9459 |
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+ | 0.6516 | 0.72 | 700 | 0.5292 | 0.2224 | -1.0543 | 0.7520 | 1.2767 | -294.6618 | -350.6416 | -2.9889 | -2.9857 |
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+ | 0.5353 | 0.83 | 800 | 0.5145 | 0.1103 | -1.4103 | 0.7560 | 1.5206 | -298.2225 | -351.7629 | -2.9116 | -2.9171 |
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+ | 0.5293 | 0.93 | 900 | 0.5146 | 0.1384 | -1.3157 | 0.7620 | 1.4541 | -297.2768 | -351.4819 | -2.9463 | -2.9537 |
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+ | 0.1078 | 1.03 | 1000 | 0.5121 | 0.3042 | -1.6532 | 0.7780 | 1.9574 | -300.6510 | -349.8238 | -2.8942 | -2.9057 |
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+ | 0.0928 | 1.14 | 1100 | 0.5322 | 0.0212 | -2.1481 | 0.7780 | 2.1692 | -305.5999 | -352.6541 | -2.8911 | -2.9062 |
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+ | 0.1295 | 1.24 | 1200 | 0.5384 | -0.2033 | -2.3411 | 0.7760 | 2.1378 | -307.5298 | -354.8984 | -2.9192 | -2.9265 |
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+ | 0.1093 | 1.34 | 1300 | 0.5469 | -0.2341 | -2.5125 | 0.7860 | 2.2784 | -309.2440 | -355.2066 | -2.8709 | -2.8807 |
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+ | 0.1198 | 1.45 | 1400 | 0.5245 | -0.3902 | -2.4518 | 0.7720 | 2.0616 | -308.6370 | -356.7679 | -2.8527 | -2.8626 |
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+ | 0.1122 | 1.55 | 1500 | 0.5524 | -0.6778 | -3.1489 | 0.7860 | 2.4710 | -315.6078 | -359.6443 | -2.8319 | -2.8394 |
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+ | 0.11 | 1.65 | 1600 | 0.5355 | -0.4967 | -2.7524 | 0.7780 | 2.2557 | -311.6435 | -357.8331 | -2.8461 | -2.8559 |
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+ | 0.1092 | 1.76 | 1700 | 0.5581 | -0.6067 | -3.1170 | 0.7800 | 2.5102 | -315.2888 | -358.9333 | -2.8502 | -2.8601 |
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+ | 0.0958 | 1.86 | 1800 | 0.5647 | -0.7279 | -3.2484 | 0.7760 | 2.5205 | -316.6035 | -360.1446 | -2.8474 | -2.8541 |
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+ | 0.122 | 1.96 | 1900 | 0.5520 | -0.7738 | -3.0618 | 0.7780 | 2.2880 | -314.7370 | -360.6041 | -2.8707 | -2.8743 |
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+ | 0.0242 | 2.07 | 2000 | 0.6111 | -1.3091 | -4.2093 | 0.7640 | 2.9002 | -326.2119 | -365.9565 | -2.8475 | -2.8605 |
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+ | 0.017 | 2.17 | 2100 | 0.6473 | -1.7027 | -4.9317 | 0.7620 | 3.2289 | -333.4358 | -369.8930 | -2.8138 | -2.8309 |
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+ | 0.0153 | 2.27 | 2200 | 0.6658 | -2.0049 | -5.3885 | 0.7700 | 3.3837 | -338.0045 | -372.9144 | -2.7872 | -2.8057 |
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+ | 0.0215 | 2.38 | 2300 | 0.6722 | -1.7556 | -5.2164 | 0.7780 | 3.4609 | -336.2837 | -370.4218 | -2.8210 | -2.8406 |
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+ | 0.0128 | 2.48 | 2400 | 0.6772 | -2.0766 | -5.6174 | 0.7700 | 3.5408 | -340.2928 | -373.6317 | -2.7783 | -2.8011 |
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+ | 0.015 | 2.58 | 2500 | 0.6893 | -2.2855 | -5.9178 | 0.7740 | 3.6323 | -343.2976 | -375.7208 | -2.7657 | -2.7877 |
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+ | 0.0118 | 2.69 | 2600 | 0.6937 | -2.5052 | -6.1919 | 0.7660 | 3.6867 | -346.0385 | -377.9179 | -2.7766 | -2.7963 |
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+ | 0.0127 | 2.79 | 2700 | 0.6868 | -2.4883 | -6.1501 | 0.7700 | 3.6618 | -345.6202 | -377.7486 | -2.7437 | -2.7652 |
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+ | 0.0149 | 2.89 | 2800 | 0.6852 | -2.3777 | -6.0421 | 0.7700 | 3.6644 | -344.5401 | -376.6426 | -2.7409 | -2.7623 |
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+ | 0.0105 | 3.0 | 2900 | 0.6832 | -2.3298 | -6.0137 | 0.7640 | 3.6839 | -344.2563 | -376.1639 | -2.7455 | -2.7663 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
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