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PE_Mistral_7b_sft_rlhf
hails/PE_Mistral_7b_sft_rlhf
PE_Mistral_7b_sft_rlhf is a text generation model from hails. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- mistral
- Access
- Public
- Created
- Dec 22, 2023
- Updated
- Dec 23, 2023
- SHA
- 0782f672
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
PE_Mistral_7b_sft_rlhf
This model was trained from scratch on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 0.1434
- Rewards/chosen: 4.8188
- Rewards/rejected: -1.0484
- Rewards/accuracies: 0.9162
- Rewards/margins: 5.8672
- Logps/rejected: -267.3837
- Logps/chosen: -402.2661
- Logits/rejected: -4.8346
- Logits/chosen: -4.9027
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-07
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5056 | 0.05 | 100 | 0.4880 | 0.9372 | 0.4139 | 0.7709 | 0.5233 | -264.4592 | -410.0293 | -4.0623 | -4.0935 |
| 0.3169 | 0.09 | 200 | 0.3182 | 1.8650 | 0.4687 | 0.8715 | 1.3963 | -264.3495 | -408.1737 | -4.0439 | -4.0734 |
| 0.283 | 0.14 | 300 | 0.2592 | 2.4814 | 0.4016 | 0.8939 | 2.0798 | -264.4838 | -406.9410 | -4.0207 | -4.0476 |
| 0.2269 | 0.18 | 400 | 0.2334 | 3.0842 | 0.4483 | 0.8883 | 2.6359 | -264.3903 | -405.7354 | -4.0647 | -4.0901 |
| 0.1909 | 0.23 | 500 | 0.2152 | 3.4097 | 0.3555 | 0.8827 | 3.0542 | -264.5758 | -405.0843 | -4.0629 | -4.0917 |
| 0.2244 | 0.27 | 600 | 0.2027 | 3.9353 | 0.5427 | 0.8994 | 3.3927 | -264.2016 | -404.0331 | -4.0748 | -4.1061 |
| 0.2118 | 0.32 | 700 | 0.1950 | 3.9411 | 0.4638 | 0.9050 | 3.4773 | -264.3593 | -404.0216 | -4.1398 | -4.1738 |
| 0.1811 | 0.37 | 800 | 0.1924 | 4.5304 | 0.6884 | 0.8994 | 3.8420 | -263.9102 | -402.8429 | -4.1152 | -4.1478 |
| 0.1802 | 0.41 | 900 | 0.1870 | 4.2323 | 0.2982 | 0.9022 | 3.9342 | -264.6906 | -403.4391 | -4.2456 | -4.2902 |
| 0.1738 | 0.46 | 1000 | 0.1961 | 4.0671 | 0.1452 | 0.8939 | 3.9219 | -264.9966 | -403.7696 | -4.2846 | -4.3360 |
| 0.1771 | 0.5 | 1100 | 0.1879 | 5.0043 | 0.9027 | 0.8966 | 4.1016 | -263.4816 | -401.8953 | -4.3106 | -4.3575 |
| 0.1758 | 0.55 | 1200 | 0.1776 | 4.7044 | 0.4253 | 0.8994 | 4.2790 | -264.4362 | -402.4950 | -4.2840 | -4.3304 |
| 0.175 | 0.59 | 1300 | 0.1727 | 4.6859 | 0.3544 | 0.9106 | 4.3315 | -264.5781 | -402.5319 | -4.3214 | -4.3726 |
| 0.164 | 0.64 | 1400 | 0.1724 | 4.9443 | 0.4681 | 0.9078 | 4.4762 | -264.3508 | -402.0152 | -4.3194 | -4.3715 |
| 0.1452 | 0.68 | 1500 | 0.1733 | 4.7850 | 0.2245 | 0.8994 | 4.5605 | -264.8378 | -402.3337 | -4.3552 | -4.4152 |
| 0.1607 | 0.73 | 1600 | 0.1838 | 4.8277 | 0.2922 | 0.9134 | 4.5355 | -264.7025 | -402.2484 | -4.3342 | -4.3831 |
| 0.1611 | 0.78 | 1700 | 0.1720 | 4.6017 | 0.0825 | 0.9078 | 4.5192 | -265.1219 | -402.7004 | -4.4271 | -4.4835 |
| 0.1895 | 0.82 | 1800 | 0.1724 | 4.8294 | 0.2577 | 0.9162 | 4.5717 | -264.7715 | -402.2449 | -4.3923 | -4.4439 |
| 0.1553 | 0.87 | 1900 | 0.1676 | 4.9769 | 0.2525 | 0.9106 | 4.7245 | -264.7820 | -401.9499 | -4.4402 | -4.4909 |
| 0.1555 | 0.91 | 2000 | 0.1651 | 4.6602 | -0.0049 | 0.9134 | 4.6651 | -265.2967 | -402.5833 | -4.4891 | -4.5421 |
| 0.1583 | 0.96 | 2100 | 0.1644 | 4.9572 | 0.0951 | 0.9134 | 4.8621 | -265.0968 | -401.9894 | -4.4897 | -4.5469 |
| 0.1414 | 1.0 | 2200 | 0.1647 | 4.7501 | -0.1147 | 0.9022 | 4.8648 | -265.5163 | -402.4036 | -4.5646 | -4.6227 |
| 0.1572 | 1.05 | 2300 | 0.1613 | 4.9643 | -0.0239 | 0.9134 | 4.9882 | -265.3347 | -401.9751 | -4.4874 | -4.5459 |
| 0.1271 | 1.1 | 2400 | 0.1592 | 4.9234 | -0.0822 | 0.9050 | 5.0056 | -265.4514 | -402.0570 | -4.5334 | -4.5967 |
| 0.128 | 1.14 | 2500 | 0.1585 | 5.2048 | 0.0677 | 0.9162 | 5.1371 | -265.1516 | -401.4941 | -4.5336 | -4.5930 |
| 0.1276 | 1.19 | 2600 | 0.1598 | 5.0338 | -0.1020 | 0.9330 | 5.1358 | -265.4910 | -401.8362 | -4.5631 | -4.6266 |
| 0.1377 | 1.23 | 2700 | 0.1618 | 5.1033 | -0.0106 | 0.9190 | 5.1139 | -265.3082 | -401.6972 | -4.6462 | -4.7083 |
| 0.1489 | 1.28 | 2800 | 0.1576 | 5.0197 | -0.0696 | 0.9274 | 5.0893 | -265.4261 | -401.8644 | -4.6567 | -4.7149 |
| 0.1252 | 1.32 | 2900 | 0.1594 | 4.8216 | -0.3970 | 0.9218 | 5.2186 | -266.0809 | -402.2606 | -4.6885 | -4.7496 |
| 0.1177 | 1.37 | 3000 | 0.1561 | 5.1379 | -0.1943 | 0.9190 | 5.3322 | -265.6755 | -401.6280 | -4.6552 | -4.7179 |
| 0.1338 | 1.42 | 3100 | 0.1596 | 4.8017 | -0.4888 | 0.9218 | 5.2905 | -266.2645 | -402.3004 | -4.6469 | -4.7124 |
| 0.1393 | 1.46 | 3200 | 0.1558 | 5.0657 | -0.1950 | 0.9274 | 5.2607 | -265.6770 | -401.7724 | -4.6387 | -4.7046 |
| 0.1268 | 1.51 | 3300 | 0.1560 | 4.6565 | -0.5086 | 0.9134 | 5.1651 | -266.3041 | -402.5907 | -4.7132 | -4.7861 |
| 0.14 | 1.55 | 3400 | 0.1538 | 4.9324 | -0.3633 | 0.9162 | 5.2957 | -266.0134 | -402.0388 | -4.7915 | -4.8605 |
| 0.144 | 1.6 | 3500 | 0.1544 | 5.1375 | -0.1980 | 0.9246 | 5.3356 | -265.6830 | -401.6287 | -4.7136 | -4.7829 |
| 0.1293 | 1.64 | 3600 | 0.1535 | 4.8933 | -0.5563 | 0.9218 | 5.4496 | -266.3995 | -402.1171 | -4.6752 | -4.7438 |
| 0.1503 | 1.69 | 3700 | 0.1545 | 5.0576 | -0.3291 | 0.9134 | 5.3868 | -265.9452 | -401.7885 | -4.7176 | -4.7882 |
| 0.1313 | 1.73 | 3800 | 0.1493 | 5.0374 | -0.3896 | 0.9134 | 5.4271 | -266.0661 | -401.8289 | -4.7076 | -4.7735 |
| 0.1312 | 1.78 | 3900 | 0.1480 | 5.0451 | -0.3528 | 0.9162 | 5.3979 | -265.9925 | -401.8134 | -4.7360 | -4.8095 |
| 0.1227 | 1.83 | 4000 | 0.1472 | 4.8811 | -0.6323 | 0.9162 | 5.5134 | -266.5515 | -402.1416 | -4.7648 | -4.8335 |
| 0.1364 | 1.87 | 4100 | 0.1464 | 4.8835 | -0.6254 | 0.9190 | 5.5089 | -266.5378 | -402.1368 | -4.7688 | -4.8339 |
| 0.1472 | 1.92 | 4200 | 0.1461 | 5.0051 | -0.5056 | 0.9190 | 5.5107 | -266.2981 | -401.8935 | -4.7772 | -4.8406 |
| 0.1187 | 1.96 | 4300 | 0.1460 | 5.0734 | -0.4883 | 0.9246 | 5.5618 | -266.2636 | -401.7569 | -4.8278 | -4.8964 |
| 0.1212 | 2.01 | 4400 | 0.1476 | 4.6410 | -0.9740 | 0.9218 | 5.6150 | -267.2350 | -402.6217 | -4.7401 | -4.8056 |
| 0.0998 | 2.05 | 4500 | 0.1453 | 4.8904 | -0.7622 | 0.9190 | 5.6526 | -266.8114 | -402.1230 | -4.7775 | -4.8457 |
| 0.1119 | 2.1 | 4600 | 0.1471 | 4.8572 | -0.8493 | 0.9246 | 5.7066 | -266.9856 | -402.1892 | -4.7661 | -4.8375 |
| 0.1175 | 2.15 | 4700 | 0.1480 | 4.8949 | -0.8295 | 0.9134 | 5.7244 | -266.9460 | -402.1140 | -4.8256 | -4.8951 |
| 0.1046 | 2.19 | 4800 | 0.1457 | 4.9889 | -0.7191 | 0.9162 | 5.7081 | -266.7252 | -401.9258 | -4.7844 | -4.8509 |
| 0.1267 | 2.24 | 4900 | 0.1491 | 4.3841 | -1.2180 | 0.9190 | 5.6021 | -267.7230 | -403.1356 | -4.8244 | -4.8912 |
| 0.1188 | 2.28 | 5000 | 0.1445 | 4.8538 | -0.7816 | 0.9190 | 5.6354 | -266.8502 | -402.1961 | -4.8018 | -4.8691 |
| 0.1105 | 2.33 | 5100 | 0.1450 | 4.6539 | -0.9854 | 0.9218 | 5.6393 | -267.2578 | -402.5959 | -4.8686 | -4.9350 |
| 0.1213 | 2.37 | 5200 | 0.1475 | 4.5392 | -1.0654 | 0.9162 | 5.6046 | -267.4177 | -402.8253 | -4.8665 | -4.9331 |
| 0.1193 | 2.42 | 5300 | 0.1475 | 4.8873 | -0.8375 | 0.9246 | 5.7248 | -266.9619 | -402.1292 | -4.8357 | -4.9002 |
| 0.1084 | 2.46 | 5400 | 0.1477 | 4.7995 | -0.9213 | 0.9162 | 5.7209 | -267.1296 | -402.3047 | -4.8708 | -4.9381 |
| 0.103 | 2.51 | 5500 | 0.1450 | 4.9781 | -0.8373 | 0.9246 | 5.8153 | -266.9615 | -401.9476 | -4.8037 | -4.8687 |
| 0.1032 | 2.56 | 5600 | 0.1449 | 4.9292 | -0.9533 | 0.9218 | 5.8825 | -267.1936 | -402.0454 | -4.7928 | -4.8573 |
| 0.1076 | 2.6 | 5700 | 0.1446 | 5.1772 | -0.7431 | 0.9134 | 5.9203 | -266.7732 | -401.5494 | -4.7715 | -4.8365 |
| 0.1048 | 2.65 | 5800 | 0.1438 | 4.8244 | -1.0354 | 0.9218 | 5.8598 | -267.3577 | -402.2549 | -4.8149 | -4.8820 |
| 0.0975 | 2.69 | 5900 | 0.1446 | 4.6830 | -1.1482 | 0.9134 | 5.8312 | -267.5833 | -402.5378 | -4.8247 | -4.8923 |
| 0.1251 | 2.74 | 6000 | 0.1433 | 4.8302 | -1.0405 | 0.9134 | 5.8707 | -267.3680 | -402.2434 | -4.8053 | -4.8717 |
| 0.1279 | 2.78 | 6100 | 0.1433 | 4.9076 | -0.9568 | 0.9134 | 5.8645 | -267.2006 | -402.0885 | -4.8238 | -4.8905 |
| 0.1334 | 2.83 | 6200 | 0.1434 | 4.9038 | -0.9683 | 0.9106 | 5.8720 | -267.2234 | -402.0963 | -4.8401 | -4.9070 |
| 0.111 | 2.88 | 6300 | 0.1432 | 4.8810 | -0.9900 | 0.9162 | 5.8709 | -267.2668 | -402.1418 | -4.8330 | -4.9001 |
| 0.1204 | 2.92 | 6400 | 0.1433 | 4.9268 | -0.9522 | 0.9134 | 5.8790 | -267.1913 | -402.0501 | -4.8292 | -4.8967 |
| 0.12 | 2.97 | 6500 | 0.1431 | 4.8308 | -1.0363 | 0.9162 | 5.8671 | -267.3595 | -402.2421 | -4.8341 | -4.9021 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- Created
- Dec 22, 2023
- Updated
- Dec 23, 2023