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yihang7
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Mistral-7B-v0.1-dpo-full-hydrox-safe

Text Generation
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  1. README.md +157 -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
  8. model-00003-of-00003.safetensors +3 -0
  9. model.safetensors.index.json +298 -0
  10. runs/Jan15_19-26-58_amaterasu/events.out.tfevents.1705346844.amaterasu.2386471.0 +3 -0
  11. runs/Jan15_19-26-58_amaterasu/events.out.tfevents.1705441876.amaterasu.2386471.1 +3 -0
  12. special_tokens_map.json +24 -0
  13. tokenizer.json +0 -0
  14. tokenizer_config.json +41 -0
  15. train_results.json +8 -0
  16. trainer_state.json +0 -0
  17. 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: mistralai/Mistral-7B-v0.1
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Mistral-7B-v0.1-dpo-full-hydrox-safe
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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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+ # Mistral-7B-v0.1-dpo-full-hydrox-safe
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0029
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+ - Rewards/chosen: 1.4965
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+ - Rewards/rejected: -33.3018
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+ - Rewards/accuracies: 0.9992
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+ - Rewards/margins: 34.7984
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+ - Logps/rejected: -735.1938
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+ - Logps/chosen: -247.9914
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+ - Logits/rejected: -2.7547
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+ - Logits/chosen: -2.9524
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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: 8
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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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: 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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+ | 0.2048 | 0.03 | 100 | 0.1816 | 1.0172 | -1.5955 | 0.9529 | 2.6127 | -418.1306 | -252.7848 | -2.6883 | -2.7595 |
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+ | 0.1279 | 0.07 | 200 | 0.1099 | 1.8935 | -2.9215 | 0.9621 | 4.8150 | -431.3906 | -244.0213 | -2.6659 | -2.7438 |
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+ | 0.075 | 0.1 | 300 | 0.1084 | 2.6393 | -3.1267 | 0.9790 | 5.7660 | -433.4421 | -236.5630 | -2.6463 | -2.7255 |
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+ | 0.0656 | 0.14 | 400 | 0.0670 | 2.6754 | -4.3127 | 0.9840 | 6.9881 | -445.3022 | -236.2028 | -2.6321 | -2.7143 |
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+ | 0.0314 | 0.17 | 500 | 0.0444 | 2.7614 | -5.7538 | 0.9857 | 8.5151 | -459.7131 | -235.3429 | -2.6533 | -2.7261 |
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+ | 0.0569 | 0.2 | 600 | 0.0820 | 1.8055 | -9.1246 | 0.9781 | 10.9302 | -493.4217 | -244.9012 | -2.6261 | -2.7256 |
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+ | 0.0154 | 0.24 | 700 | 0.0703 | 1.5280 | -13.2088 | 0.9857 | 14.7368 | -534.2635 | -247.6769 | -2.5799 | -2.6689 |
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+ | 0.032 | 0.27 | 800 | 0.0583 | 1.4588 | -11.3987 | 0.9891 | 12.8575 | -516.1622 | -248.3688 | -2.5761 | -2.6670 |
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+ | 0.0376 | 0.31 | 900 | 0.0440 | 0.8776 | -15.7795 | 0.9924 | 16.6572 | -559.9705 | -254.1801 | -2.5745 | -2.6553 |
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+ | 0.1198 | 0.34 | 1000 | 0.0460 | 0.7615 | -22.5125 | 0.9933 | 23.2740 | -627.3004 | -255.3416 | -2.6308 | -2.7357 |
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+ | 0.0438 | 0.37 | 1100 | 0.0293 | 1.1199 | -14.6644 | 0.9949 | 15.7842 | -548.8188 | -251.7577 | -2.7728 | -2.8744 |
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+ | 0.0368 | 0.41 | 1200 | 0.0349 | 1.4988 | -18.6893 | 0.9924 | 20.1881 | -589.0681 | -247.9686 | -2.6827 | -2.7834 |
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+ | 0.0218 | 0.44 | 1300 | 0.1406 | 1.9168 | -13.4986 | 0.9739 | 15.4154 | -537.1611 | -243.7885 | -2.4356 | -2.5455 |
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+ | 0.0302 | 0.48 | 1400 | 0.0197 | 0.3550 | -20.3640 | 0.9941 | 20.7190 | -605.8153 | -259.4061 | -2.5041 | -2.5799 |
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+ | 0.0114 | 0.51 | 1500 | 0.0231 | 1.0578 | -17.2156 | 0.9958 | 18.2735 | -574.3317 | -252.3781 | -2.4380 | -2.5036 |
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+ | 0.0108 | 0.54 | 1600 | 0.0267 | 0.7739 | -19.6130 | 0.9966 | 20.3868 | -598.3051 | -255.2180 | -2.5048 | -2.6017 |
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+ | 0.0142 | 0.58 | 1700 | 0.0431 | -0.7071 | -25.1890 | 0.9966 | 24.4819 | -654.0657 | -270.0278 | -2.6207 | -2.7770 |
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+ | 0.0367 | 0.61 | 1800 | 0.0242 | 0.5459 | -19.8798 | 0.9966 | 20.4258 | -600.9736 | -257.4970 | -2.6528 | -2.8159 |
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+ | 0.0123 | 0.65 | 1900 | 0.0170 | 0.2873 | -21.3637 | 0.9958 | 21.6510 | -615.8121 | -260.0836 | -2.7699 | -2.9451 |
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+ | 0.0279 | 0.68 | 2000 | 0.0238 | 1.3430 | -17.5880 | 0.9941 | 18.9309 | -578.0551 | -249.5269 | -2.6516 | -2.8237 |
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+ | 0.0049 | 0.71 | 2100 | 0.0199 | -0.1106 | -27.2864 | 0.9941 | 27.1758 | -675.0391 | -264.0627 | -2.6269 | -2.8199 |
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+ | 0.0028 | 0.75 | 2200 | 0.0181 | 0.1829 | -26.3264 | 0.9941 | 26.5094 | -665.4396 | -261.1270 | -2.7200 | -2.9244 |
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+ | 0.0166 | 0.78 | 2300 | 0.0194 | -0.3610 | -25.2795 | 0.9958 | 24.9185 | -654.9701 | -266.5665 | -2.6358 | -2.7824 |
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+ | 0.021 | 0.82 | 2400 | 0.0227 | 1.2726 | -24.2662 | 0.9983 | 25.5388 | -644.8376 | -250.2310 | -2.6171 | -2.7585 |
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+ | 0.014 | 0.85 | 2500 | 0.0168 | 0.1132 | -29.5821 | 0.9983 | 29.6953 | -697.9961 | -261.8245 | -2.6238 | -2.7765 |
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+ | 0.0035 | 0.88 | 2600 | 0.0267 | 0.7916 | -24.8514 | 0.9983 | 25.6430 | -650.6893 | -255.0403 | -2.5649 | -2.7397 |
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+ | 0.0208 | 0.92 | 2700 | 0.0090 | 0.5092 | -28.5463 | 0.9983 | 29.0555 | -687.6382 | -257.8649 | -2.5661 | -2.7543 |
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+ | 0.0253 | 0.95 | 2800 | 0.0103 | 0.8823 | -30.6264 | 0.9966 | 31.5087 | -708.4396 | -254.1338 | -2.6179 | -2.8054 |
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+ | 0.0028 | 0.99 | 2900 | 0.0112 | 1.2910 | -25.2950 | 0.9983 | 26.5860 | -655.1255 | -250.0463 | -2.6939 | -2.9014 |
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+ | 0.0019 | 1.02 | 3000 | 0.0149 | -0.5923 | -26.9350 | 0.9983 | 26.3427 | -671.5254 | -268.8800 | -2.6026 | -2.8588 |
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+ | 0.0013 | 1.05 | 3100 | 0.0120 | 0.2408 | -27.8722 | 0.9983 | 28.1130 | -680.8969 | -260.5484 | -2.7120 | -2.9730 |
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+ | 0.0014 | 1.09 | 3200 | 0.0098 | 1.7422 | -24.9625 | 0.9983 | 26.7047 | -651.8002 | -245.5344 | -2.7375 | -2.9656 |
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+ | 0.0007 | 1.12 | 3300 | 0.0158 | 1.3878 | -24.7373 | 0.9975 | 26.1251 | -649.5485 | -249.0786 | -2.7624 | -2.9950 |
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+ | 0.0032 | 1.16 | 3400 | 0.0130 | 0.9357 | -27.4065 | 0.9992 | 28.3422 | -676.2398 | -253.5992 | -2.7870 | -3.0069 |
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+ | 0.0008 | 1.19 | 3500 | 0.0107 | 0.7496 | -28.7658 | 0.9992 | 29.5154 | -689.8333 | -255.4606 | -2.7988 | -3.0340 |
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+ | 0.0004 | 1.22 | 3600 | 0.0091 | 0.6703 | -30.1929 | 0.9992 | 30.8631 | -704.1040 | -256.2537 | -2.7427 | -2.9740 |
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+ | 0.0039 | 1.26 | 3700 | 0.0098 | 0.5756 | -28.2500 | 0.9983 | 28.8255 | -684.6750 | -257.2008 | -2.7343 | -2.9647 |
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+ | 0.0017 | 1.29 | 3800 | 0.0068 | -0.0529 | -33.0047 | 0.9975 | 32.9518 | -732.2226 | -263.4854 | -2.7187 | -2.9478 |
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+ | 0.0043 | 1.33 | 3900 | 0.0061 | 0.2318 | -31.5623 | 0.9983 | 31.7940 | -717.7981 | -260.6389 | -2.7301 | -2.9546 |
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+ | 0.0044 | 1.36 | 4000 | 0.0061 | -0.4835 | -34.3777 | 0.9975 | 33.8941 | -745.9522 | -267.7920 | -2.7024 | -2.9245 |
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+ | 0.0008 | 1.39 | 4100 | 0.0048 | 0.4070 | -31.0079 | 0.9975 | 31.4149 | -712.2544 | -258.8862 | -2.6586 | -2.8669 |
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+ | 0.0013 | 1.43 | 4200 | 0.0067 | 0.2262 | -27.6468 | 0.9983 | 27.8730 | -678.6434 | -260.6947 | -2.6572 | -2.8776 |
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+ | 0.0139 | 1.46 | 4300 | 0.0089 | 0.1431 | -38.3175 | 0.9966 | 38.4606 | -785.3500 | -261.5256 | -2.6647 | -2.8567 |
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+ | 0.0005 | 1.5 | 4400 | 0.0052 | 1.1567 | -28.1924 | 0.9983 | 29.3490 | -684.0989 | -251.3895 | -2.6746 | -2.8756 |
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+ | 0.0017 | 1.53 | 4500 | 0.0048 | 0.9539 | -28.4808 | 0.9983 | 29.4348 | -686.9838 | -253.4173 | -2.6321 | -2.8397 |
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+ | 0.0076 | 1.56 | 4600 | 0.0053 | 1.2200 | -25.8289 | 0.9975 | 27.0489 | -660.4644 | -250.7563 | -2.6732 | -2.8768 |
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+ | 0.0073 | 1.6 | 4700 | 0.0037 | 0.5422 | -29.8961 | 0.9975 | 30.4383 | -701.1363 | -257.5345 | -2.6687 | -2.8635 |
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+ | 0.0064 | 1.63 | 4800 | 0.0058 | 0.1897 | -35.1189 | 0.9975 | 35.3086 | -753.3646 | -261.0594 | -2.8192 | -3.0418 |
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+ | 0.0027 | 1.67 | 4900 | 0.0035 | 1.0140 | -29.5701 | 0.9983 | 30.5841 | -697.8760 | -252.8162 | -2.7731 | -2.9981 |
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+ | 0.0004 | 1.7 | 5000 | 0.0025 | 1.5574 | -25.0463 | 0.9983 | 26.6037 | -652.6386 | -247.3826 | -2.7513 | -2.9753 |
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+ | 0.008 | 1.73 | 5100 | 0.0026 | 1.1263 | -30.3188 | 0.9983 | 31.4451 | -705.3633 | -251.6933 | -2.7995 | -3.0092 |
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+ | 0.0015 | 1.77 | 5200 | 0.0020 | 1.3119 | -29.0704 | 0.9983 | 30.3824 | -692.8795 | -249.8371 | -2.7971 | -3.0186 |
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+ | 0.0021 | 1.8 | 5300 | 0.0024 | 0.7331 | -31.3066 | 0.9975 | 32.0396 | -715.2409 | -255.6256 | -2.7968 | -2.9833 |
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+ | 0.0014 | 1.84 | 5400 | 0.0018 | 1.4142 | -28.7232 | 0.9975 | 30.1374 | -689.4075 | -248.8142 | -2.8127 | -2.9997 |
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+ | 0.0002 | 1.87 | 5500 | 0.0036 | 0.2662 | -33.0751 | 0.9975 | 33.3414 | -732.9266 | -260.2943 | -2.7900 | -2.9893 |
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+ | 0.0123 | 1.9 | 5600 | 0.0034 | 0.8622 | -29.0743 | 0.9983 | 29.9365 | -692.9180 | -254.3346 | -2.7901 | -2.9879 |
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+ | 0.0022 | 1.94 | 5700 | 0.0027 | 1.4619 | -26.1686 | 0.9983 | 27.6305 | -663.8615 | -248.3373 | -2.7543 | -2.9437 |
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+ | 0.0023 | 1.97 | 5800 | 0.0026 | 1.3065 | -29.0318 | 0.9992 | 30.3383 | -692.4929 | -249.8912 | -2.7777 | -2.9641 |
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+ | 0.0002 | 2.01 | 5900 | 0.0024 | 1.3466 | -31.8791 | 0.9992 | 33.2256 | -720.9660 | -249.4908 | -2.7919 | -2.9806 |
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+ | 0.0004 | 2.04 | 6000 | 0.0024 | 1.2456 | -33.3469 | 0.9992 | 34.5924 | -735.6440 | -250.5009 | -2.7884 | -2.9774 |
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+ | 0.0002 | 2.07 | 6100 | 0.0051 | 0.8107 | -37.2426 | 0.9983 | 38.0533 | -774.6013 | -254.8491 | -2.8039 | -2.9851 |
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+ | 0.0025 | 2.11 | 6200 | 0.0053 | 1.2104 | -32.6969 | 0.9983 | 33.9073 | -729.1440 | -250.8525 | -2.7910 | -2.9641 |
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+ | 0.001 | 2.14 | 6300 | 0.0050 | 1.5723 | -30.7677 | 0.9983 | 32.3400 | -709.8519 | -247.2332 | -2.7886 | -2.9728 |
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+ | 0.0062 | 2.18 | 6400 | 0.0062 | 1.0454 | -32.4375 | 0.9983 | 33.4829 | -726.5503 | -252.5022 | -2.7689 | -2.9530 |
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+ | 0.0006 | 2.21 | 6500 | 0.0050 | 1.2958 | -32.8746 | 0.9992 | 34.1704 | -730.9218 | -249.9990 | -2.7450 | -2.9272 |
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+ | 0.0011 | 2.24 | 6600 | 0.0035 | 1.8455 | -29.7702 | 0.9992 | 31.6158 | -699.8776 | -244.5013 | -2.7935 | -2.9672 |
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+ | 0.0001 | 2.28 | 6700 | 0.0040 | 2.0206 | -29.9992 | 0.9992 | 32.0197 | -702.1669 | -242.7507 | -2.8074 | -2.9801 |
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+ | 0.0002 | 2.31 | 6800 | 0.0042 | 1.5238 | -33.6284 | 0.9992 | 35.1522 | -738.4594 | -247.7182 | -2.7943 | -2.9749 |
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+ | 0.0246 | 2.35 | 6900 | 0.0039 | 0.7561 | -35.1964 | 0.9992 | 35.9525 | -754.1393 | -255.3954 | -2.7779 | -2.9606 |
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+ | 0.0011 | 2.38 | 7000 | 0.0038 | 1.1395 | -31.9450 | 0.9992 | 33.0845 | -721.6255 | -251.5618 | -2.7762 | -2.9534 |
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+ | 0.0001 | 2.41 | 7100 | 0.0040 | 1.2345 | -34.3482 | 0.9992 | 35.5827 | -745.6570 | -250.6111 | -2.7624 | -2.9515 |
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+ | 0.0002 | 2.45 | 7200 | 0.0034 | 1.6020 | -32.1494 | 0.9992 | 33.7514 | -723.6697 | -246.9365 | -2.7747 | -2.9635 |
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+ | 0.0046 | 2.48 | 7300 | 0.0036 | 1.6314 | -32.1292 | 0.9992 | 33.7605 | -723.4673 | -246.6430 | -2.7679 | -2.9556 |
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+ | 0.0023 | 2.52 | 7400 | 0.0035 | 1.4778 | -33.5251 | 0.9992 | 35.0028 | -737.4260 | -248.1789 | -2.7722 | -2.9629 |
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+ | 0.0011 | 2.55 | 7500 | 0.0034 | 1.6981 | -32.6639 | 0.9992 | 34.3620 | -728.8140 | -245.9752 | -2.7916 | -2.9806 |
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+ | 0.0012 | 2.58 | 7600 | 0.0032 | 1.7076 | -32.6830 | 0.9992 | 34.3906 | -729.0056 | -245.8805 | -2.7888 | -2.9758 |
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+ | 0.0001 | 2.62 | 7700 | 0.0034 | 2.0561 | -29.7915 | 0.9992 | 31.8476 | -700.0899 | -242.3954 | -2.7837 | -2.9656 |
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+ | 0.0 | 2.65 | 7800 | 0.0033 | 2.0375 | -30.3971 | 0.9992 | 32.4345 | -706.1458 | -242.5820 | -2.7782 | -2.9618 |
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+ | 0.0027 | 2.69 | 7900 | 0.0031 | 1.8698 | -31.1258 | 0.9992 | 32.9955 | -713.4329 | -244.2589 | -2.7837 | -2.9739 |
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+ | 0.0001 | 2.72 | 8000 | 0.0029 | 1.8124 | -32.0635 | 0.9992 | 33.8759 | -722.8105 | -244.8322 | -2.7619 | -2.9524 |
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+ | 0.0 | 2.75 | 8100 | 0.0029 | 1.7514 | -32.6143 | 0.9992 | 34.3656 | -728.3180 | -245.4429 | -2.7594 | -2.9517 |
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+ | 0.0001 | 2.79 | 8200 | 0.0029 | 1.7056 | -33.0849 | 0.9992 | 34.7904 | -733.0240 | -245.9009 | -2.7606 | -2.9530 |
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+ | 0.0 | 2.82 | 8300 | 0.0030 | 1.6349 | -32.8211 | 0.9992 | 34.4560 | -730.3865 | -246.6072 | -2.7437 | -2.9371 |
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+ | 0.0001 | 2.86 | 8400 | 0.0029 | 1.5951 | -32.9498 | 0.9992 | 34.5450 | -731.6738 | -247.0051 | -2.7438 | -2.9386 |
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+ | 0.0001 | 2.89 | 8500 | 0.0029 | 1.5667 | -32.9358 | 0.9992 | 34.5025 | -731.5333 | -247.2896 | -2.7541 | -2.9497 |
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+ | 0.0029 | 2.92 | 8600 | 0.0029 | 1.4986 | -33.3107 | 0.9992 | 34.8093 | -735.2822 | -247.9706 | -2.7541 | -2.9514 |
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+ | 0.0013 | 2.96 | 8700 | 0.0029 | 1.4945 | -33.3218 | 0.9992 | 34.8163 | -735.3931 | -248.0111 | -2.7544 | -2.9518 |
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+ | 0.0004 | 2.99 | 8800 | 0.0029 | 1.4978 | -33.2941 | 0.9992 | 34.7920 | -735.1168 | -247.9782 | -2.7547 | -2.9525 |
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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
all_results.json ADDED
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+ {
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+ "epoch": 3.0,
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+ "eval_logits/chosen": -2.952404499053955,
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+ "eval_logits/rejected": -2.754680871963501,
5
+ "eval_logps/chosen": -247.9913787841797,
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+ "eval_logps/rejected": -735.1937866210938,
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+ "eval_loss": 0.002894825069233775,
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+ "eval_rewards/accuracies": 0.9991582632064819,
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+ "eval_rewards/chosen": 1.4965133666992188,
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+ "eval_rewards/margins": 34.79835510253906,
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+ "eval_rewards/rejected": -33.301841735839844,
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+ "eval_runtime": 463.448,
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+ "eval_samples": 9500,
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+ "eval_samples_per_second": 20.499,
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+ "eval_steps_per_second": 0.641,
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+ "train_loss": 0.022219736984536855,
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+ "train_runtime": 94567.8662,
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+ "train_samples": 188284,
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+ "train_samples_per_second": 5.973,
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+ "train_steps_per_second": 0.093
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+ }
config.json ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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