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llama_DPO_model_e2

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@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1526
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- - Rewards/chosen: 0.3611
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- - Rewards/rejected: -1.5450
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  - Rewards/accuracies: 1.0
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- - Rewards/margins: 1.9061
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- - Logps/rejected: -200.2592
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- - Logps/chosen: -157.0226
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- - Logits/rejected: -1.0513
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- - Logits/chosen: -0.8571
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  ## Model description
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@@ -45,7 +45,7 @@ More information needed
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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: 1
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  - eval_batch_size: 1
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  - seed: 42
@@ -59,36 +59,36 @@ The following hyperparameters were used during training:
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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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- | 0.6819 | 0.1 | 25 | 0.6708 | 0.0151 | -0.0312 | 0.7567 | 0.0463 | -185.1220 | -160.4831 | -1.0517 | -0.8540 |
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- | 0.6351 | 0.2 | 50 | 0.6228 | 0.0428 | -0.1054 | 0.9600 | 0.1482 | -185.8636 | -160.2060 | -1.0524 | -0.8552 |
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- | 0.5874 | 0.3 | 75 | 0.5655 | 0.0762 | -0.2019 | 0.9967 | 0.2781 | -186.8286 | -159.8719 | -1.0525 | -0.8548 |
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- | 0.5179 | 0.4 | 100 | 0.5030 | 0.1133 | -0.3207 | 1.0 | 0.4340 | -188.0166 | -159.5010 | -1.0521 | -0.8545 |
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- | 0.479 | 0.5 | 125 | 0.4468 | 0.1501 | -0.4388 | 1.0 | 0.5889 | -189.1974 | -159.1327 | -1.0524 | -0.8554 |
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- | 0.406 | 0.6 | 150 | 0.3904 | 0.1842 | -0.5778 | 1.0 | 0.7620 | -190.5874 | -158.7915 | -1.0525 | -0.8576 |
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- | 0.3731 | 0.7 | 175 | 0.3377 | 0.2223 | -0.7247 | 1.0 | 0.9470 | -192.0564 | -158.4104 | -1.0521 | -0.8559 |
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- | 0.3075 | 0.79 | 200 | 0.2918 | 0.2537 | -0.8769 | 1.0 | 1.1305 | -193.5782 | -158.0974 | -1.0525 | -0.8583 |
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- | 0.2621 | 0.89 | 225 | 0.2517 | 0.2822 | -1.0278 | 1.0 | 1.3100 | -195.0876 | -157.8119 | -1.0525 | -0.8573 |
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- | 0.2285 | 0.99 | 250 | 0.2180 | 0.3118 | -1.1738 | 1.0 | 1.4855 | -196.5471 | -157.5160 | -1.0517 | -0.8568 |
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- | 0.2162 | 1.09 | 275 | 0.1948 | 0.3279 | -1.2897 | 1.0 | 1.6176 | -197.7066 | -157.3551 | -1.0513 | -0.8567 |
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- | 0.1752 | 1.19 | 300 | 0.1810 | 0.3383 | -1.3661 | 1.0 | 1.7044 | -198.4706 | -157.2514 | -1.0511 | -0.8576 |
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- | 0.1672 | 1.29 | 325 | 0.1714 | 0.3456 | -1.4242 | 1.0 | 1.7698 | -199.0516 | -157.1775 | -1.0509 | -0.8568 |
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- | 0.1722 | 1.39 | 350 | 0.1646 | 0.3535 | -1.4653 | 1.0 | 1.8187 | -199.4624 | -157.0993 | -1.0510 | -0.8568 |
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- | 0.1649 | 1.49 | 375 | 0.1596 | 0.3586 | -1.4919 | 1.0 | 1.8505 | -199.7286 | -157.0477 | -1.0512 | -0.8569 |
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- | 0.1534 | 1.59 | 400 | 0.1580 | 0.3603 | -1.5059 | 1.0 | 1.8663 | -199.8687 | -157.0304 | -1.0507 | -0.8571 |
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- | 0.1492 | 1.69 | 425 | 0.1561 | 0.3589 | -1.5194 | 1.0 | 1.8783 | -200.0034 | -157.0448 | -1.0514 | -0.8578 |
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- | 0.1625 | 1.79 | 450 | 0.1564 | 0.3586 | -1.5205 | 1.0 | 1.8791 | -200.0150 | -157.0482 | -1.0509 | -0.8570 |
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- | 0.1561 | 1.89 | 475 | 0.1535 | 0.3613 | -1.5366 | 1.0 | 1.8979 | -200.1756 | -157.0212 | -1.0510 | -0.8576 |
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- | 0.1565 | 1.99 | 500 | 0.1529 | 0.3643 | -1.5393 | 1.0 | 1.9036 | -200.2028 | -156.9913 | -1.0513 | -0.8567 |
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- | 0.1476 | 2.09 | 525 | 0.1530 | 0.3640 | -1.5392 | 1.0 | 1.9032 | -200.2021 | -156.9944 | -1.0511 | -0.8569 |
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- | 0.1457 | 2.19 | 550 | 0.1530 | 0.3605 | -1.5406 | 1.0 | 1.9011 | -200.2155 | -157.0287 | -1.0507 | -0.8577 |
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- | 0.1376 | 2.29 | 575 | 0.1529 | 0.3585 | -1.5466 | 1.0 | 1.9051 | -200.2757 | -157.0492 | -1.0508 | -0.8579 |
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- | 0.1574 | 2.38 | 600 | 0.1527 | 0.3634 | -1.5448 | 1.0 | 1.9082 | -200.2574 | -156.9998 | -1.0508 | -0.8566 |
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- | 0.1662 | 2.48 | 625 | 0.1518 | 0.3645 | -1.5465 | 1.0 | 1.9109 | -200.2742 | -156.9890 | -1.0509 | -0.8572 |
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- | 0.1535 | 2.58 | 650 | 0.1523 | 0.3628 | -1.5458 | 1.0 | 1.9086 | -200.2675 | -157.0059 | -1.0510 | -0.8571 |
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- | 0.1488 | 2.68 | 675 | 0.1518 | 0.3658 | -1.5446 | 1.0 | 1.9104 | -200.2561 | -156.9763 | -1.0510 | -0.8572 |
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- | 0.1564 | 2.78 | 700 | 0.1526 | 0.3618 | -1.5452 | 1.0 | 1.9071 | -200.2618 | -157.0154 | -1.0512 | -0.8568 |
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- | 0.1367 | 2.88 | 725 | 0.1526 | 0.3643 | -1.5426 | 1.0 | 1.9069 | -200.2352 | -156.9905 | -1.0513 | -0.8570 |
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- | 0.1543 | 2.98 | 750 | 0.1526 | 0.3611 | -1.5450 | 1.0 | 1.9061 | -200.2592 | -157.0226 | -1.0513 | -0.8571 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1001
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+ - Rewards/chosen: 0.4226
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+ - Rewards/rejected: -1.9804
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  - Rewards/accuracies: 1.0
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+ - Rewards/margins: 2.4030
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+ - Logps/rejected: -204.6132
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+ - Logps/chosen: -156.4080
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+ - Logits/rejected: -1.0519
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+ - Logits/chosen: -0.8585
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 6e-07
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  - train_batch_size: 1
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  - eval_batch_size: 1
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  - seed: 42
 
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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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+ | 0.6757 | 0.1 | 25 | 0.6650 | 0.0149 | -0.0435 | 0.7767 | 0.0584 | -185.2444 | -160.4850 | -1.0519 | -0.8543 |
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+ | 0.6136 | 0.2 | 50 | 0.5989 | 0.0552 | -0.1462 | 0.9567 | 0.2014 | -186.2718 | -160.0822 | -1.0523 | -0.8553 |
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+ | 0.5526 | 0.3 | 75 | 0.5225 | 0.1032 | -0.2804 | 1.0 | 0.3837 | -187.6138 | -159.6014 | -1.0520 | -0.8542 |
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+ | 0.4819 | 0.4 | 100 | 0.4502 | 0.1474 | -0.4325 | 0.9967 | 0.5798 | -189.1341 | -159.1602 | -1.0518 | -0.8548 |
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+ | 0.4253 | 0.5 | 125 | 0.3835 | 0.1905 | -0.5943 | 1.0 | 0.7848 | -190.7523 | -158.7284 | -1.0527 | -0.8564 |
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+ | 0.3448 | 0.6 | 150 | 0.3197 | 0.2328 | -0.7813 | 1.0 | 1.0141 | -192.6229 | -158.3063 | -1.0526 | -0.8559 |
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+ | 0.3007 | 0.7 | 175 | 0.2637 | 0.2788 | -0.9753 | 1.0 | 1.2542 | -194.5630 | -157.8456 | -1.0525 | -0.8586 |
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+ | 0.2369 | 0.79 | 200 | 0.2192 | 0.3135 | -1.1671 | 1.0 | 1.4807 | -196.4808 | -157.4985 | -1.0519 | -0.8604 |
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+ | 0.1987 | 0.89 | 225 | 0.1825 | 0.3436 | -1.3550 | 1.0 | 1.6986 | -198.3592 | -157.1976 | -1.0520 | -0.8594 |
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+ | 0.1616 | 0.99 | 250 | 0.1532 | 0.3687 | -1.5379 | 1.0 | 1.9066 | -200.1886 | -156.9470 | -1.0519 | -0.8604 |
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+ | 0.1525 | 1.09 | 275 | 0.1346 | 0.3861 | -1.6703 | 1.0 | 2.0564 | -201.5127 | -156.7730 | -1.0511 | -0.8582 |
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+ | 0.1194 | 1.19 | 300 | 0.1246 | 0.3970 | -1.7483 | 1.0 | 2.1453 | -202.2923 | -156.6637 | -1.0509 | -0.8584 |
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+ | 0.1128 | 1.29 | 325 | 0.1161 | 0.4062 | -1.8227 | 1.0 | 2.2289 | -203.0370 | -156.5718 | -1.0511 | -0.8577 |
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+ | 0.1194 | 1.39 | 350 | 0.1108 | 0.4127 | -1.8680 | 1.0 | 2.2807 | -203.4899 | -156.5069 | -1.0514 | -0.8602 |
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+ | 0.1123 | 1.49 | 375 | 0.1070 | 0.4151 | -1.9092 | 1.0 | 2.3243 | -203.9014 | -156.4828 | -1.0515 | -0.8584 |
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+ | 0.1008 | 1.59 | 400 | 0.1046 | 0.4209 | -1.9290 | 1.0 | 2.3499 | -204.0999 | -156.4248 | -1.0516 | -0.8618 |
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+ | 0.0971 | 1.69 | 425 | 0.1033 | 0.4208 | -1.9461 | 1.0 | 2.3669 | -204.2709 | -156.4260 | -1.0510 | -0.8586 |
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+ | 0.109 | 1.79 | 450 | 0.1019 | 0.4235 | -1.9597 | 1.0 | 2.3832 | -204.4061 | -156.3985 | -1.0510 | -0.8587 |
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+ | 0.1035 | 1.89 | 475 | 0.1009 | 0.4234 | -1.9700 | 1.0 | 2.3934 | -204.5094 | -156.4001 | -1.0517 | -0.8580 |
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+ | 0.1046 | 1.99 | 500 | 0.1004 | 0.4210 | -1.9772 | 1.0 | 2.3983 | -204.5820 | -156.4234 | -1.0511 | -0.8603 |
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+ | 0.0961 | 2.09 | 525 | 0.1002 | 0.4227 | -1.9798 | 1.0 | 2.4025 | -204.6080 | -156.4070 | -1.0518 | -0.8587 |
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+ | 0.0932 | 2.19 | 550 | 0.1000 | 0.4237 | -1.9796 | 1.0 | 2.4033 | -204.6052 | -156.3964 | -1.0518 | -0.8597 |
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+ | 0.0901 | 2.29 | 575 | 0.1002 | 0.4231 | -1.9785 | 1.0 | 2.4015 | -204.5942 | -156.4030 | -1.0514 | -0.8594 |
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+ | 0.1033 | 2.38 | 600 | 0.1003 | 0.4248 | -1.9780 | 1.0 | 2.4028 | -204.5901 | -156.3859 | -1.0517 | -0.8616 |
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+ | 0.1108 | 2.48 | 625 | 0.0999 | 0.4262 | -1.9796 | 1.0 | 2.4057 | -204.6053 | -156.3723 | -1.0517 | -0.8583 |
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+ | 0.1026 | 2.58 | 650 | 0.0998 | 0.4208 | -1.9879 | 1.0 | 2.4088 | -204.6889 | -156.4255 | -1.0522 | -0.8594 |
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+ | 0.0956 | 2.68 | 675 | 0.1001 | 0.4227 | -1.9818 | 1.0 | 2.4045 | -204.6279 | -156.4070 | -1.0517 | -0.8588 |
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+ | 0.1003 | 2.78 | 700 | 0.0996 | 0.4241 | -1.9817 | 1.0 | 2.4058 | -204.6262 | -156.3926 | -1.0516 | -0.8584 |
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+ | 0.0874 | 2.88 | 725 | 0.0997 | 0.4228 | -1.9835 | 1.0 | 2.4064 | -204.6450 | -156.4057 | -1.0519 | -0.8609 |
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+ | 0.1001 | 2.98 | 750 | 0.1001 | 0.4226 | -1.9804 | 1.0 | 2.4030 | -204.6132 | -156.4080 | -1.0519 | -0.8585 |
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  ### Framework versions