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yihang7
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phi-2-dpo-full-hydrox-safe

Text Generation
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Safetensors
phi
Generated from Trainer
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  1. README.md +157 -0
  2. all_results.json +21 -0
  3. eval_results.json +16 -0
  4. generation_config.json +4 -0
  5. model-00001-of-00002.safetensors +3 -0
  6. model-00002-of-00002.safetensors +3 -0
  7. model.safetensors.index.json +460 -0
  8. runs/Jan25_18-43-52_amaterasu/events.out.tfevents.1706311461.amaterasu.1093688.1 +3 -0
  9. train_results.json +8 -0
  10. trainer_state.json +0 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/phi-2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: phi-2-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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+ # phi-2-dpo-full-hydrox-safe
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+
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+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0050
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+ - Rewards/chosen: -0.0996
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+ - Rewards/rejected: -19.3989
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+ - Rewards/accuracies: 0.9992
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+ - Rewards/margins: 19.2993
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+ - Logps/rejected: -644.0859
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+ - Logps/chosen: -275.4780
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+ - Logits/rejected: 0.2021
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+ - Logits/chosen: -0.3196
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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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+ | 0.6535 | 0.03 | 100 | 0.6404 | 0.0912 | -0.0433 | 0.6936 | 0.1345 | -450.5297 | -273.5692 | 0.6266 | 0.1056 |
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+ | 0.4293 | 0.07 | 200 | 0.4021 | 0.4957 | -0.4032 | 0.8998 | 0.8989 | -454.1287 | -269.5248 | 0.6425 | 0.1325 |
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+ | 0.2685 | 0.1 | 300 | 0.2464 | 0.8729 | -1.0624 | 0.9386 | 1.9354 | -460.7211 | -265.7526 | 0.6700 | 0.1533 |
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+ | 0.1918 | 0.14 | 400 | 0.1792 | 1.1981 | -1.7756 | 0.9453 | 2.9737 | -467.8528 | -262.5003 | 0.6918 | 0.1719 |
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+ | 0.1409 | 0.17 | 500 | 0.1423 | 1.4079 | -2.4222 | 0.9503 | 3.8301 | -474.3184 | -260.4028 | 0.7139 | 0.1772 |
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+ | 0.1437 | 0.2 | 600 | 0.1232 | 1.6054 | -3.1009 | 0.9537 | 4.7063 | -481.1060 | -258.4279 | 0.7179 | 0.1571 |
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+ | 0.0747 | 0.24 | 700 | 0.1057 | 1.7190 | -3.9721 | 0.9613 | 5.6911 | -489.8179 | -257.2914 | 0.7179 | 0.1325 |
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+ | 0.0848 | 0.27 | 800 | 0.0863 | 1.8540 | -4.3289 | 0.9689 | 6.1829 | -493.3858 | -255.9415 | 0.7047 | 0.1024 |
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+ | 0.0853 | 0.31 | 900 | 0.0744 | 1.8328 | -5.0270 | 0.9722 | 6.8598 | -500.3666 | -256.1535 | 0.6746 | 0.0529 |
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+ | 0.0561 | 0.34 | 1000 | 0.0639 | 1.7736 | -5.4555 | 0.9747 | 7.2291 | -504.6516 | -256.7455 | 0.6517 | 0.0185 |
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+ | 0.0657 | 0.37 | 1100 | 0.0546 | 1.7966 | -5.6453 | 0.9840 | 7.4419 | -506.5500 | -256.5157 | 0.6738 | 0.0168 |
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+ | 0.0445 | 0.41 | 1200 | 0.0499 | 1.7245 | -6.0645 | 0.9823 | 7.7889 | -510.7414 | -257.2369 | 0.6757 | 0.0176 |
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+ | 0.0498 | 0.44 | 1300 | 0.0459 | 1.6804 | -6.6799 | 0.9848 | 8.3603 | -516.8956 | -257.6772 | 0.6719 | 0.0228 |
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+ | 0.0554 | 0.48 | 1400 | 0.0549 | 1.5994 | -6.8731 | 0.9848 | 8.4726 | -518.8279 | -258.4872 | 0.6684 | 0.0151 |
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+ | 0.0368 | 0.51 | 1500 | 0.0365 | 1.3551 | -7.8016 | 0.9865 | 9.1567 | -528.1130 | -260.9311 | 0.6464 | -0.0223 |
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+ | 0.0514 | 0.54 | 1600 | 0.0333 | 1.3431 | -7.5785 | 0.9891 | 8.9215 | -525.8817 | -261.0511 | 0.6617 | -0.0159 |
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+ | 0.0365 | 0.58 | 1700 | 0.0310 | 1.0743 | -8.8130 | 0.9933 | 9.8873 | -538.2264 | -263.7386 | 0.6354 | -0.0234 |
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+ | 0.0214 | 0.61 | 1800 | 0.0300 | 1.1310 | -9.1633 | 0.9924 | 10.2942 | -541.7292 | -263.1721 | 0.6278 | -0.0199 |
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+ | 0.0321 | 0.65 | 1900 | 0.0267 | 0.9514 | -9.9884 | 0.9924 | 10.9399 | -549.9811 | -264.9675 | 0.6044 | -0.0268 |
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+ | 0.0239 | 0.68 | 2000 | 0.0249 | 0.9624 | -10.0608 | 0.9933 | 11.0232 | -550.7047 | -264.8574 | 0.5955 | -0.0628 |
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+ | 0.0484 | 0.71 | 2100 | 0.0222 | 0.9176 | -11.0294 | 0.9941 | 11.9470 | -560.3909 | -265.3055 | 0.6043 | -0.0338 |
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+ | 0.0239 | 0.75 | 2200 | 0.0209 | 0.8247 | -10.5070 | 0.9941 | 11.3317 | -555.1663 | -266.2345 | 0.5913 | -0.0648 |
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+ | 0.0219 | 0.78 | 2300 | 0.0221 | 0.7334 | -10.5131 | 0.9924 | 11.2465 | -555.2272 | -267.1474 | 0.5942 | -0.0808 |
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+ | 0.0168 | 0.82 | 2400 | 0.0200 | 0.8909 | -11.0818 | 0.9966 | 11.9727 | -560.9146 | -265.5724 | 0.6006 | -0.0770 |
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+ | 0.0135 | 0.85 | 2500 | 0.0187 | 0.7273 | -11.3130 | 0.9958 | 12.0403 | -563.2269 | -267.2084 | 0.5948 | -0.0711 |
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+ | 0.0211 | 0.88 | 2600 | 0.0190 | 0.5390 | -11.8492 | 0.9949 | 12.3883 | -568.5890 | -269.0913 | 0.5818 | -0.0719 |
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+ | 0.0209 | 0.92 | 2700 | 0.0170 | 0.4957 | -12.3176 | 0.9949 | 12.8133 | -573.2725 | -269.5249 | 0.5537 | -0.0912 |
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+ | 0.0168 | 0.95 | 2800 | 0.0175 | 0.5850 | -12.2737 | 0.9958 | 12.8587 | -572.8340 | -268.6321 | 0.5471 | -0.0870 |
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+ | 0.0129 | 0.99 | 2900 | 0.0171 | 0.5691 | -12.7785 | 0.9949 | 13.3476 | -577.8817 | -268.7910 | 0.5441 | -0.0810 |
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+ | 0.0134 | 1.02 | 3000 | 0.0188 | 0.3713 | -13.0254 | 0.9966 | 13.3966 | -580.3504 | -270.7691 | 0.5261 | -0.1163 |
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+ | 0.0127 | 1.05 | 3100 | 0.0155 | 0.1769 | -14.3013 | 0.9958 | 14.4782 | -593.1094 | -272.7126 | 0.4928 | -0.1129 |
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+ | 0.0072 | 1.09 | 3200 | 0.0147 | 0.2474 | -13.6499 | 0.9975 | 13.8973 | -586.5952 | -272.0074 | 0.4753 | -0.1479 |
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+ | 0.0068 | 1.12 | 3300 | 0.0179 | 0.2168 | -14.6122 | 0.9958 | 14.8291 | -596.2192 | -272.3131 | 0.4722 | -0.1430 |
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+ | 0.0323 | 1.16 | 3400 | 0.0218 | 0.2536 | -15.9479 | 0.9958 | 16.2015 | -609.5762 | -271.9459 | 0.4159 | -0.1430 |
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+ | 0.0232 | 1.19 | 3500 | 0.0171 | 0.4273 | -14.2304 | 0.9958 | 14.6577 | -592.4003 | -270.2084 | 0.4598 | -0.1410 |
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+ | 0.0112 | 1.22 | 3600 | 0.0165 | 0.3634 | -15.1069 | 0.9966 | 15.4704 | -601.1661 | -270.8472 | 0.4366 | -0.1521 |
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+ | 0.0136 | 1.26 | 3700 | 0.0176 | 0.2922 | -14.4784 | 0.9966 | 14.7706 | -594.8809 | -271.5597 | 0.4553 | -0.1679 |
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+ | 0.0089 | 1.29 | 3800 | 0.0155 | 0.2349 | -14.8970 | 0.9966 | 15.1319 | -599.0669 | -272.1331 | 0.4447 | -0.1721 |
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+ | 0.01 | 1.33 | 3900 | 0.0123 | 0.1309 | -15.3620 | 0.9975 | 15.4930 | -603.7170 | -273.1724 | 0.4180 | -0.1834 |
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+ | 0.0055 | 1.36 | 4000 | 0.0132 | 0.0227 | -16.5037 | 0.9975 | 16.5265 | -615.1339 | -274.2542 | 0.3836 | -0.1899 |
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+ | 0.004 | 1.39 | 4100 | 0.0122 | 0.2637 | -15.2111 | 0.9975 | 15.4748 | -602.2075 | -271.8445 | 0.4087 | -0.1870 |
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+ | 0.0057 | 1.43 | 4200 | 0.0117 | 0.1593 | -16.5411 | 0.9975 | 16.7003 | -615.5074 | -272.8891 | 0.4086 | -0.1518 |
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+ | 0.0041 | 1.46 | 4300 | 0.0113 | -0.0815 | -17.4813 | 0.9975 | 17.3998 | -624.9092 | -275.2963 | 0.3722 | -0.1782 |
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+ | 0.0039 | 1.5 | 4400 | 0.0115 | 0.2051 | -17.4309 | 0.9983 | 17.6359 | -624.4056 | -272.4310 | 0.3445 | -0.1975 |
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+ | 0.0075 | 1.53 | 4500 | 0.0098 | 0.2810 | -15.5168 | 0.9992 | 15.7978 | -605.2650 | -271.6719 | 0.4021 | -0.1980 |
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+ | 0.0034 | 1.56 | 4600 | 0.0123 | 0.2926 | -15.4764 | 0.9992 | 15.7690 | -604.8610 | -271.5560 | 0.4225 | -0.1766 |
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+ | 0.0066 | 1.6 | 4700 | 0.0125 | 0.3192 | -14.8325 | 0.9992 | 15.1517 | -598.4222 | -271.2900 | 0.4068 | -0.2026 |
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+ | 0.0079 | 1.63 | 4800 | 0.0124 | 0.1405 | -15.1594 | 0.9992 | 15.2999 | -601.6904 | -273.0765 | 0.3942 | -0.2089 |
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+ | 0.0063 | 1.67 | 4900 | 0.0108 | -0.1407 | -17.4715 | 0.9975 | 17.3308 | -624.8116 | -275.8886 | 0.3294 | -0.2140 |
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+ | 0.0026 | 1.7 | 5000 | 0.0116 | -0.0520 | -17.9554 | 0.9992 | 17.9034 | -629.6504 | -275.0013 | 0.3361 | -0.2062 |
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+ | 0.0151 | 1.73 | 5100 | 0.0112 | 0.5727 | -14.3495 | 0.9975 | 14.9221 | -593.5914 | -268.7550 | 0.4234 | -0.1897 |
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+ | 0.0049 | 1.77 | 5200 | 0.0083 | 0.2709 | -15.7593 | 0.9975 | 16.0301 | -607.6893 | -271.7730 | 0.3788 | -0.2054 |
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+ | 0.0036 | 1.8 | 5300 | 0.0093 | 0.2336 | -16.3789 | 0.9992 | 16.6125 | -613.8856 | -272.1456 | 0.3798 | -0.1961 |
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+ | 0.0076 | 1.84 | 5400 | 0.0086 | 0.2618 | -16.1654 | 0.9992 | 16.4272 | -611.7511 | -271.8639 | 0.3844 | -0.2090 |
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+ | 0.0028 | 1.87 | 5500 | 0.0079 | 0.3444 | -15.7817 | 0.9983 | 16.1261 | -607.9135 | -271.0378 | 0.3874 | -0.2135 |
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+ | 0.0102 | 1.9 | 5600 | 0.0081 | 0.3276 | -15.7265 | 0.9983 | 16.0541 | -607.3622 | -271.2061 | 0.3713 | -0.2243 |
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+ | 0.0051 | 1.94 | 5700 | 0.0072 | 0.3979 | -15.8670 | 0.9983 | 16.2649 | -608.7670 | -270.5030 | 0.3562 | -0.2429 |
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+ | 0.0068 | 1.97 | 5800 | 0.0069 | 0.2817 | -16.7894 | 0.9992 | 17.0711 | -617.9911 | -271.6647 | 0.3329 | -0.2424 |
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+ | 0.0021 | 2.01 | 5900 | 0.0061 | 0.0725 | -17.3567 | 0.9992 | 17.4292 | -623.6634 | -273.7564 | 0.3142 | -0.2479 |
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+ | 0.0031 | 2.04 | 6000 | 0.0066 | -0.0179 | -18.1905 | 0.9983 | 18.1726 | -632.0013 | -274.6606 | 0.2948 | -0.2445 |
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+ | 0.0032 | 2.07 | 6100 | 0.0064 | 0.0140 | -17.8441 | 0.9992 | 17.8581 | -628.5374 | -274.3414 | 0.3043 | -0.2424 |
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+ | 0.0043 | 2.11 | 6200 | 0.0066 | 0.0216 | -18.5824 | 0.9983 | 18.6041 | -635.9210 | -274.2653 | 0.2863 | -0.2416 |
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+ | 0.0033 | 2.14 | 6300 | 0.0070 | 0.0355 | -18.3245 | 0.9983 | 18.3600 | -633.3419 | -274.1270 | 0.2783 | -0.2691 |
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+ | 0.0036 | 2.18 | 6400 | 0.0065 | 0.1473 | -18.2292 | 0.9983 | 18.3765 | -632.3882 | -273.0083 | 0.2772 | -0.2744 |
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+ | 0.0023 | 2.21 | 6500 | 0.0064 | 0.0450 | -17.9052 | 0.9992 | 17.9502 | -629.1483 | -274.0311 | 0.2750 | -0.2756 |
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+ | 0.0025 | 2.24 | 6600 | 0.0061 | -0.0642 | -17.4265 | 0.9983 | 17.3623 | -624.3619 | -275.1237 | 0.2773 | -0.2881 |
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+ | 0.0008 | 2.28 | 6700 | 0.0058 | 0.0951 | -17.3710 | 0.9992 | 17.4661 | -623.8071 | -273.5309 | 0.2703 | -0.2891 |
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+ | 0.002 | 2.31 | 6800 | 0.0057 | -0.0533 | -18.2744 | 0.9992 | 18.2212 | -632.8410 | -275.0142 | 0.2544 | -0.2823 |
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+ | 0.0052 | 2.35 | 6900 | 0.0073 | 0.0152 | -18.6276 | 0.9983 | 18.6427 | -636.3723 | -274.3301 | 0.2365 | -0.2928 |
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+ | 0.0029 | 2.38 | 7000 | 0.0056 | 0.0321 | -18.4600 | 0.9992 | 18.4921 | -634.6968 | -274.1606 | 0.2366 | -0.2889 |
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+ | 0.0013 | 2.41 | 7100 | 0.0058 | -0.1304 | -19.1740 | 0.9983 | 19.0436 | -641.8367 | -275.7859 | 0.2306 | -0.2898 |
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+ | 0.0011 | 2.45 | 7200 | 0.0059 | -0.0977 | -19.2699 | 0.9992 | 19.1722 | -642.7958 | -275.4590 | 0.2227 | -0.2916 |
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+ | 0.0058 | 2.48 | 7300 | 0.0059 | -0.0938 | -18.8625 | 0.9992 | 18.7687 | -638.7216 | -275.4195 | 0.2314 | -0.2945 |
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+ | 0.004 | 2.52 | 7400 | 0.0067 | -0.1457 | -19.2264 | 0.9992 | 19.0807 | -642.3610 | -275.9389 | 0.2194 | -0.2959 |
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+ | 0.0042 | 2.55 | 7500 | 0.0056 | -0.0100 | -18.6009 | 0.9992 | 18.5909 | -636.1058 | -274.5812 | 0.2398 | -0.3003 |
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+ | 0.0033 | 2.58 | 7600 | 0.0057 | -0.1484 | -19.3114 | 0.9992 | 19.1630 | -643.2104 | -275.9655 | 0.2215 | -0.2965 |
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+ | 0.0012 | 2.62 | 7700 | 0.0051 | -0.1574 | -19.2398 | 0.9992 | 19.0824 | -642.4946 | -276.0552 | 0.2210 | -0.3052 |
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+ | 0.002 | 2.65 | 7800 | 0.0052 | -0.1220 | -19.5223 | 0.9992 | 19.4004 | -645.3201 | -275.7011 | 0.2102 | -0.3165 |
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+ | 0.0053 | 2.69 | 7900 | 0.0051 | -0.1063 | -19.6889 | 0.9992 | 19.5826 | -646.9856 | -275.5444 | 0.2106 | -0.3074 |
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+ | 0.0013 | 2.72 | 8000 | 0.0056 | -0.1357 | -19.8339 | 0.9992 | 19.6982 | -648.4356 | -275.8386 | 0.2029 | -0.3129 |
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+ | 0.002 | 2.75 | 8100 | 0.0050 | -0.1024 | -19.6476 | 0.9992 | 19.5452 | -646.5726 | -275.5056 | 0.1993 | -0.3168 |
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+ | 0.0016 | 2.79 | 8200 | 0.0052 | -0.0378 | -19.4058 | 0.9992 | 19.3680 | -644.1544 | -274.8596 | 0.2152 | -0.3120 |
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+ | 0.0015 | 2.82 | 8300 | 0.0049 | -0.0549 | -19.2544 | 0.9992 | 19.1994 | -642.6404 | -275.0310 | 0.2093 | -0.3168 |
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+ | 0.003 | 2.86 | 8400 | 0.0051 | -0.1218 | -19.2614 | 0.9983 | 19.1396 | -642.7106 | -275.7000 | 0.2057 | -0.3182 |
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+ | 0.0019 | 2.89 | 8500 | 0.0050 | -0.1057 | -19.3041 | 0.9992 | 19.1983 | -643.1373 | -275.5387 | 0.2077 | -0.3151 |
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+ | 0.0039 | 2.92 | 8600 | 0.0052 | -0.0863 | -19.2826 | 0.9992 | 19.1963 | -642.9229 | -275.3445 | 0.2057 | -0.3208 |
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+ | 0.0042 | 2.96 | 8700 | 0.0048 | -0.1111 | -19.3837 | 0.9992 | 19.2726 | -643.9339 | -275.5926 | 0.2008 | -0.3215 |
149
+ | 0.0023 | 2.99 | 8800 | 0.0050 | -0.1085 | -19.4076 | 0.9992 | 19.2990 | -644.1723 | -275.5668 | 0.1985 | -0.3228 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.0.dev0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.14.6
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+ - Tokenizers 0.15.1
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 3.0,
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+ "eval_logits/chosen": -0.3196437656879425,
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+ "eval_logits/rejected": 0.2021237313747406,
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+ "eval_logps/chosen": -275.47796630859375,
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+ "eval_logps/rejected": -644.0859375,
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+ "eval_loss": 0.005032053682953119,
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+ "eval_rewards/accuracies": 0.9991582632064819,
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+ "eval_rewards/chosen": -0.09963408857584,
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+ "eval_rewards/margins": 19.299285888671875,
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+ "eval_rewards/rejected": -19.3989200592041,
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+ "eval_runtime": 525.9739,
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+ "eval_samples": 9500,
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+ "eval_samples_per_second": 18.062,
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+ "eval_steps_per_second": 0.565,
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+ "train_loss": 0.03813637946047515,
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+ "train_runtime": 102663.2378,
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+ "train_samples": 188284,
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+ "train_samples_per_second": 5.502,
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+ "train_steps_per_second": 0.086
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+ }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "epoch": 3.0,
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+ "eval_logits/chosen": -0.3196437656879425,
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+ "eval_logits/rejected": 0.2021237313747406,
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+ "eval_logps/chosen": -275.47796630859375,
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+ "eval_logps/rejected": -644.0859375,
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+ "eval_loss": 0.005032053682953119,
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+ "eval_rewards/accuracies": 0.9991582632064819,
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+ "eval_rewards/chosen": -0.09963408857584,
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+ "eval_rewards/margins": 19.299285888671875,
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+ "eval_rewards/rejected": -19.3989200592041,
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+ "eval_runtime": 525.9739,
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+ "eval_samples": 9500,
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