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objects76
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zephyr-7b-dpo-qlora

PEFT
TensorBoard
Safetensors
mistral
alignment-handbook
trl
dpo
Generated from Trainer
4-bit precision
bitsandbytes
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  1. README.md +47 -47
  2. adapter_model.safetensors +1 -1
  3. all_results.json +4 -4
  4. runs/Apr05_17-15-39_gpu-1/events.out.tfevents.1712305026.gpu-1.1152924.0 +2 -2
  5. train_results.json +4 -4
  6. trainer_state.json +0 -0
README.md CHANGED
@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
18
 
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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 the None dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.4894
22
- - Rewards/chosen: -2.7838
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- - Rewards/rejected: -3.9130
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- - Rewards/accuracies: 0.7445
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- - Rewards/margins: 1.1292
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- - Logps/rejected: -635.9062
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- - Logps/chosen: -543.0328
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- - Logits/rejected: -1.2074
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- - Logits/chosen: -1.3340
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31
  ## Model description
32
 
@@ -61,44 +61,44 @@ 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 |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
64
- | 0.6823 | 0.03 | 100 | 0.6822 | 0.0498 | 0.0268 | 0.6610 | 0.0230 | -241.9323 | -259.6750 | -1.9559 | -2.0953 |
65
- | 0.6492 | 0.05 | 200 | 0.6491 | -0.0479 | -0.1535 | 0.6815 | 0.1056 | -259.9606 | -269.4400 | -1.9338 | -2.0706 |
66
- | 0.6101 | 0.08 | 300 | 0.6217 | -0.3407 | -0.5476 | 0.6770 | 0.2069 | -299.3728 | -298.7252 | -1.8680 | -2.0021 |
67
- | 0.6173 | 0.1 | 400 | 0.5952 | -0.5027 | -0.8331 | 0.6835 | 0.3304 | -327.9222 | -314.9250 | -1.6582 | -1.7878 |
68
- | 0.5435 | 0.13 | 500 | 0.5754 | -1.1151 | -1.6071 | 0.6890 | 0.4920 | -405.3195 | -376.1609 | -1.4273 | -1.5544 |
69
- | 0.5547 | 0.16 | 600 | 0.5695 | -0.7600 | -1.2661 | 0.6985 | 0.5061 | -371.2198 | -340.6527 | -1.4396 | -1.5726 |
70
- | 0.5282 | 0.18 | 700 | 0.5560 | -2.0627 | -2.9172 | 0.7165 | 0.8545 | -536.3329 | -470.9231 | -1.2515 | -1.3804 |
71
- | 0.5205 | 0.21 | 800 | 0.5364 | -1.6968 | -2.4004 | 0.7265 | 0.7036 | -484.6470 | -434.3307 | -1.2756 | -1.4041 |
72
- | 0.4983 | 0.24 | 900 | 0.5329 | -1.6798 | -2.4538 | 0.7205 | 0.7740 | -489.9910 | -432.6339 | -1.0956 | -1.2161 |
73
- | 0.5443 | 0.26 | 1000 | 0.5279 | -1.8981 | -2.7666 | 0.7240 | 0.8684 | -521.2657 | -454.4658 | -1.1264 | -1.2533 |
74
- | 0.565 | 0.29 | 1100 | 0.5207 | -1.5130 | -2.3368 | 0.7290 | 0.8238 | -478.2849 | -415.9483 | -1.1445 | -1.2715 |
75
- | 0.5837 | 0.31 | 1200 | 0.5104 | -1.6729 | -2.5375 | 0.7355 | 0.8645 | -498.3547 | -431.9437 | -1.1065 | -1.2314 |
76
- | 0.5342 | 0.34 | 1300 | 0.5146 | -2.7684 | -3.8446 | 0.7240 | 1.0762 | -629.0701 | -541.4911 | -1.0656 | -1.1852 |
77
- | 0.5287 | 0.37 | 1400 | 0.5197 | -1.9068 | -2.8614 | 0.7235 | 0.9546 | -530.7440 | -455.3286 | -1.1253 | -1.2506 |
78
- | 0.4634 | 0.39 | 1500 | 0.5165 | -2.1400 | -3.2391 | 0.7295 | 1.0991 | -568.5231 | -478.6544 | -1.1408 | -1.2696 |
79
- | 0.5551 | 0.42 | 1600 | 0.5057 | -2.4748 | -3.5466 | 0.7310 | 1.0718 | -599.2672 | -512.1343 | -1.1162 | -1.2402 |
80
- | 0.5183 | 0.44 | 1700 | 0.4993 | -2.7856 | -3.8497 | 0.7390 | 1.0641 | -629.5833 | -543.2154 | -1.1493 | -1.2784 |
81
- | 0.478 | 0.47 | 1800 | 0.5060 | -2.6855 | -3.7424 | 0.7390 | 1.0569 | -618.8510 | -533.2012 | -1.1180 | -1.2419 |
82
- | 0.4325 | 0.5 | 1900 | 0.4996 | -3.0306 | -4.2124 | 0.7370 | 1.1818 | -665.8478 | -567.7128 | -1.1245 | -1.2515 |
83
- | 0.4926 | 0.52 | 2000 | 0.4934 | -2.6648 | -3.6771 | 0.7405 | 1.0123 | -612.3228 | -531.1354 | -1.1607 | -1.2879 |
84
- | 0.5009 | 0.55 | 2100 | 0.4915 | -2.8243 | -3.8594 | 0.7510 | 1.0351 | -630.5530 | -547.0867 | -1.1825 | -1.3099 |
85
- | 0.4777 | 0.58 | 2200 | 0.4914 | -2.3357 | -3.3121 | 0.7475 | 0.9764 | -575.8183 | -498.2264 | -1.2484 | -1.3780 |
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- | 0.4655 | 0.6 | 2300 | 0.4928 | -3.0709 | -4.2756 | 0.7450 | 1.2047 | -672.1651 | -571.7407 | -1.1628 | -1.2897 |
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- | 0.47 | 0.63 | 2400 | 0.4909 | -2.9333 | -4.0701 | 0.7410 | 1.1368 | -651.6222 | -557.9854 | -1.1517 | -1.2773 |
88
- | 0.4963 | 0.65 | 2500 | 0.4933 | -2.6058 | -3.7730 | 0.7390 | 1.1672 | -621.9061 | -525.2288 | -1.1945 | -1.3239 |
89
- | 0.4663 | 0.68 | 2600 | 0.4950 | -2.6796 | -3.8395 | 0.7450 | 1.1599 | -628.5566 | -532.6130 | -1.1991 | -1.3264 |
90
- | 0.5286 | 0.71 | 2700 | 0.4961 | -2.6413 | -3.7802 | 0.7380 | 1.1389 | -622.6273 | -528.7829 | -1.2033 | -1.3309 |
91
- | 0.4564 | 0.73 | 2800 | 0.4925 | -2.6808 | -3.8257 | 0.7405 | 1.1448 | -627.1752 | -532.7354 | -1.2038 | -1.3305 |
92
- | 0.5166 | 0.76 | 2900 | 0.4904 | -2.7803 | -3.8999 | 0.7415 | 1.1197 | -634.5994 | -542.6777 | -1.2046 | -1.3310 |
93
- | 0.4653 | 0.79 | 3000 | 0.4896 | -2.7971 | -3.8847 | 0.7425 | 1.0877 | -633.0811 | -544.3574 | -1.2067 | -1.3333 |
94
- | 0.4808 | 0.81 | 3100 | 0.4901 | -2.8200 | -3.9473 | 0.7410 | 1.1273 | -639.3414 | -546.6562 | -1.2009 | -1.3278 |
95
- | 0.4882 | 0.84 | 3200 | 0.4896 | -2.7656 | -3.8890 | 0.7440 | 1.1234 | -633.5068 | -541.2137 | -1.2088 | -1.3355 |
96
- | 0.5123 | 0.86 | 3300 | 0.4895 | -2.7745 | -3.8976 | 0.7435 | 1.1231 | -634.3662 | -542.1025 | -1.2083 | -1.3352 |
97
- | 0.4526 | 0.89 | 3400 | 0.4896 | -2.7856 | -3.9136 | 0.7445 | 1.1280 | -635.9655 | -543.2083 | -1.2051 | -1.3319 |
98
- | 0.5432 | 0.92 | 3500 | 0.4896 | -2.7837 | -3.9130 | 0.7440 | 1.1292 | -635.9039 | -543.0231 | -1.2045 | -1.3314 |
99
- | 0.4617 | 0.94 | 3600 | 0.4895 | -2.7857 | -3.9150 | 0.7435 | 1.1294 | -636.1135 | -543.2186 | -1.2104 | -1.3374 |
100
- | 0.4797 | 0.97 | 3700 | 0.4896 | -2.7842 | -3.9131 | 0.7435 | 1.1289 | -635.9192 | -543.0764 | -1.2075 | -1.3343 |
101
- | 0.5092 | 0.99 | 3800 | 0.4894 | -2.7838 | -3.9130 | 0.7445 | 1.1292 | -635.9062 | -543.0328 | -1.2074 | -1.3340 |
102
 
103
 
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  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.4864
22
+ - Rewards/chosen: -2.8126
23
+ - Rewards/rejected: -3.9101
24
+ - Rewards/accuracies: 0.7395
25
+ - Rewards/margins: 1.0975
26
+ - Logps/rejected: -635.6184
27
+ - Logps/chosen: -545.9131
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+ - Logits/rejected: -1.1317
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+ - Logits/chosen: -1.2524
30
 
31
  ## Model description
32
 
 
61
 
62
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
63
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
64
+ | 0.6821 | 0.03 | 100 | 0.6821 | 0.0498 | 0.0267 | 0.6565 | 0.0231 | -241.9392 | -259.6706 | -1.9557 | -2.0951 |
65
+ | 0.6496 | 0.05 | 200 | 0.6487 | -0.0543 | -0.1608 | 0.6810 | 0.1065 | -260.6906 | -270.0797 | -1.9313 | -2.0680 |
66
+ | 0.6042 | 0.08 | 300 | 0.6216 | -0.3050 | -0.5140 | 0.6730 | 0.2090 | -296.0115 | -295.1514 | -1.8895 | -2.0229 |
67
+ | 0.6218 | 0.1 | 400 | 0.5940 | -0.6189 | -0.9584 | 0.6810 | 0.3395 | -340.4455 | -326.5407 | -1.8155 | -1.9431 |
68
+ | 0.5674 | 0.13 | 500 | 0.5780 | -1.5729 | -2.0527 | 0.7040 | 0.4797 | -449.8770 | -421.9457 | -1.6637 | -1.7893 |
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+ | 0.5632 | 0.16 | 600 | 0.5649 | -0.7810 | -1.2808 | 0.7040 | 0.4999 | -372.6913 | -342.7494 | -1.6489 | -1.7786 |
70
+ | 0.5331 | 0.18 | 700 | 0.5607 | -1.9088 | -2.6807 | 0.7060 | 0.7719 | -512.6751 | -455.5275 | -1.4691 | -1.5919 |
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+ | 0.4996 | 0.21 | 800 | 0.5433 | -1.4500 | -2.1596 | 0.7070 | 0.7096 | -460.5685 | -409.6544 | -1.5461 | -1.6710 |
72
+ | 0.514 | 0.24 | 900 | 0.5440 | -1.2657 | -1.9170 | 0.7190 | 0.6512 | -436.3041 | -391.2230 | -1.5014 | -1.6214 |
73
+ | 0.5468 | 0.26 | 1000 | 0.5418 | -1.3702 | -2.0703 | 0.7175 | 0.7001 | -451.6408 | -401.6767 | -1.4449 | -1.5656 |
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+ | 0.569 | 0.29 | 1100 | 0.5299 | -1.1397 | -1.8623 | 0.7210 | 0.7227 | -430.8414 | -378.6177 | -1.4278 | -1.5524 |
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+ | 0.5732 | 0.31 | 1200 | 0.5185 | -1.1057 | -1.8287 | 0.7250 | 0.7231 | -427.4810 | -375.2183 | -1.3596 | -1.4804 |
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+ | 0.5332 | 0.34 | 1300 | 0.5315 | -2.1367 | -3.0509 | 0.7240 | 0.9142 | -549.7025 | -478.3255 | -1.1977 | -1.3072 |
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+ | 0.5431 | 0.37 | 1400 | 0.5211 | -1.2563 | -2.0974 | 0.7260 | 0.8411 | -454.3522 | -390.2846 | -1.3130 | -1.4314 |
78
+ | 0.4862 | 0.39 | 1500 | 0.5162 | -1.3677 | -2.2741 | 0.7355 | 0.9063 | -472.0146 | -401.4262 | -1.2795 | -1.4015 |
79
+ | 0.5858 | 0.42 | 1600 | 0.5073 | -1.8100 | -2.6996 | 0.7365 | 0.8896 | -514.5671 | -445.6515 | -1.1534 | -1.2718 |
80
+ | 0.5147 | 0.44 | 1700 | 0.5000 | -2.2681 | -3.2167 | 0.7340 | 0.9486 | -566.2829 | -491.4621 | -1.1468 | -1.2691 |
81
+ | 0.4809 | 0.47 | 1800 | 0.5022 | -2.9278 | -3.9903 | 0.7405 | 1.0625 | -643.6409 | -557.4312 | -1.0617 | -1.1786 |
82
+ | 0.46 | 0.5 | 1900 | 0.5003 | -2.4333 | -3.5014 | 0.7355 | 1.0681 | -594.7523 | -507.9823 | -1.1041 | -1.2253 |
83
+ | 0.477 | 0.52 | 2000 | 0.4989 | -2.3912 | -3.3897 | 0.7345 | 0.9985 | -583.5771 | -503.7692 | -1.1185 | -1.2392 |
84
+ | 0.5068 | 0.55 | 2100 | 0.4939 | -2.4778 | -3.4672 | 0.7430 | 0.9894 | -591.3240 | -512.4297 | -1.1255 | -1.2462 |
85
+ | 0.4832 | 0.58 | 2200 | 0.4925 | -2.1250 | -3.0518 | 0.7425 | 0.9268 | -549.7868 | -477.1522 | -1.1670 | -1.2899 |
86
+ | 0.4731 | 0.6 | 2300 | 0.4923 | -2.8792 | -4.0084 | 0.7435 | 1.1291 | -645.4448 | -552.5742 | -1.0953 | -1.2155 |
87
+ | 0.4782 | 0.63 | 2400 | 0.4923 | -2.8503 | -3.9248 | 0.7420 | 1.0745 | -637.0914 | -549.6804 | -1.0794 | -1.1978 |
88
+ | 0.4983 | 0.65 | 2500 | 0.4906 | -2.5713 | -3.6558 | 0.7410 | 1.0845 | -610.1890 | -521.7778 | -1.1292 | -1.2522 |
89
+ | 0.4746 | 0.68 | 2600 | 0.4947 | -2.5857 | -3.7233 | 0.7365 | 1.1375 | -616.9340 | -523.2234 | -1.1267 | -1.2491 |
90
+ | 0.514 | 0.71 | 2700 | 0.4924 | -2.6975 | -3.8049 | 0.7355 | 1.1074 | -625.0958 | -534.3994 | -1.1248 | -1.2463 |
91
+ | 0.4662 | 0.73 | 2800 | 0.4899 | -2.8300 | -3.9668 | 0.7380 | 1.1368 | -641.2913 | -547.6557 | -1.1134 | -1.2345 |
92
+ | 0.5111 | 0.76 | 2900 | 0.4873 | -2.9392 | -4.0635 | 0.7405 | 1.1244 | -650.9627 | -558.5706 | -1.1188 | -1.2396 |
93
+ | 0.4758 | 0.79 | 3000 | 0.4866 | -2.8621 | -3.9416 | 0.7410 | 1.0795 | -638.7724 | -550.8655 | -1.1318 | -1.2526 |
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+ | 0.4908 | 0.81 | 3100 | 0.4869 | -2.8503 | -3.9411 | 0.7420 | 1.0908 | -638.7193 | -549.6837 | -1.1347 | -1.2555 |
95
+ | 0.4641 | 0.84 | 3200 | 0.4866 | -2.8111 | -3.8990 | 0.7405 | 1.0878 | -634.5079 | -545.7666 | -1.1347 | -1.2554 |
96
+ | 0.5096 | 0.86 | 3300 | 0.4864 | -2.7992 | -3.8880 | 0.7395 | 1.0887 | -633.4041 | -544.5740 | -1.1379 | -1.2586 |
97
+ | 0.455 | 0.89 | 3400 | 0.4866 | -2.8126 | -3.9082 | 0.7395 | 1.0956 | -635.4322 | -545.9153 | -1.1336 | -1.2544 |
98
+ | 0.5262 | 0.92 | 3500 | 0.4864 | -2.8110 | -3.9081 | 0.7410 | 1.0971 | -635.4207 | -545.7535 | -1.1342 | -1.2550 |
99
+ | 0.466 | 0.94 | 3600 | 0.4866 | -2.8133 | -3.9106 | 0.7400 | 1.0973 | -635.6727 | -545.9836 | -1.1347 | -1.2555 |
100
+ | 0.4945 | 0.97 | 3700 | 0.4864 | -2.8101 | -3.9080 | 0.7400 | 1.0979 | -635.4124 | -545.6666 | -1.1321 | -1.2528 |
101
+ | 0.5013 | 0.99 | 3800 | 0.4864 | -2.8126 | -3.9101 | 0.7395 | 1.0975 | -635.6184 | -545.9131 | -1.1317 | -1.2524 |
102
 
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  ### Framework versions
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