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CharlesLi
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OpenELM-1_1B-DPO-full-most-similar

Text Generation
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TensorBoard
Safetensors
openelm
trl
dpo
alignment-handbook
Generated from Trainer
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CharlesLi commited on
Commit
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1 Parent(s): a71f911

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Files changed (9) hide show
  1. README.md +37 -37
  2. all_results.json +16 -16
  3. eval_results.json +12 -12
  4. model.safetensors +1 -1
  5. runs/Sep22_15-09-56_xe8545-a100-05/events.out.tfevents.1727024517.xe8545-a100-05.375983.1 +3 -0
  6. runs/Sep23_05-38-37_xe8545-a100-19/events.out.tfevents.1727064015.xe8545-a100-19.122613.0 +3 -0
  7. train_results.json +4 -4
  8. trainer_state.json +0 -0
  9. training_args.bin +1 -1
README.md CHANGED
@@ -17,15 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
17
 
18
  This model was trained from scratch on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 1.2107
21
- - Rewards/chosen: -6.5312
22
- - Rewards/rejected: -6.9375
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- - Rewards/accuracies: 0.5176
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- - Rewards/margins: 0.3906
25
- - Logps/rejected: -980.0
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- - Logps/chosen: -972.0
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- - Logits/rejected: -3.5781
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- - Logits/chosen: -4.9688
29
 
30
  ## Model description
31
 
@@ -62,34 +62,34 @@ The following hyperparameters were used during training:
62
 
63
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
64
  |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
65
- | 0.6244 | 0.1047 | 100 | 0.6786 | -0.5742 | -0.6484 | 0.5547 | 0.0737 | -354.0 | -376.0 | -12.3125 | -12.5625 |
66
- | 0.6189 | 0.2093 | 200 | 0.6845 | -0.5234 | -0.6055 | 0.5664 | 0.0825 | -350.0 | -370.0 | -10.375 | -10.875 |
67
- | 0.615 | 0.3140 | 300 | 0.7258 | -0.8516 | -0.9492 | 0.5020 | 0.0996 | -384.0 | -404.0 | -9.0 | -9.5 |
68
- | 0.6363 | 0.4186 | 400 | 0.7065 | -1.7891 | -1.9375 | 0.5352 | 0.1436 | -482.0 | -498.0 | -10.9375 | -11.625 |
69
- | 0.6154 | 0.5233 | 500 | 0.7352 | -1.8125 | -1.9062 | 0.4961 | 0.0942 | -480.0 | -500.0 | -9.4375 | -10.25 |
70
- | 0.6475 | 0.6279 | 600 | 0.7276 | -1.1328 | -1.1406 | 0.5020 | 0.0104 | -402.0 | -432.0 | -14.25 | -14.5 |
71
- | 0.6127 | 0.7326 | 700 | 0.7310 | -1.25 | -1.2578 | 0.4883 | 0.0139 | -414.0 | -442.0 | -14.0 | -14.125 |
72
- | 0.6244 | 0.8373 | 800 | 0.6975 | -1.4141 | -1.5391 | 0.5449 | 0.1245 | -442.0 | -460.0 | -13.4375 | -13.6875 |
73
- | 0.5981 | 0.9419 | 900 | 0.7064 | -1.7266 | -1.8828 | 0.5293 | 0.1572 | -476.0 | -490.0 | -13.25 | -13.6875 |
74
- | 0.1623 | 1.0466 | 1000 | 0.8445 | -3.3125 | -3.5625 | 0.5234 | 0.2383 | -644.0 | -648.0 | -8.75 | -9.9375 |
75
- | 0.174 | 1.1512 | 1100 | 0.9356 | -3.4688 | -3.6719 | 0.5312 | 0.1973 | -656.0 | -664.0 | -9.5625 | -10.5625 |
76
- | 0.1635 | 1.2559 | 1200 | 0.8848 | -3.4219 | -3.7188 | 0.5430 | 0.2969 | -660.0 | -660.0 | -7.5312 | -8.6875 |
77
- | 0.1524 | 1.3605 | 1300 | 0.8919 | -3.4219 | -3.7188 | 0.5449 | 0.2988 | -660.0 | -660.0 | -6.0938 | -7.4688 |
78
- | 0.1368 | 1.4652 | 1400 | 0.9149 | -3.4844 | -3.6875 | 0.5352 | 0.2021 | -660.0 | -668.0 | -6.7188 | -8.0625 |
79
- | 0.1442 | 1.5699 | 1500 | 0.9040 | -3.7812 | -4.0 | 0.5371 | 0.2275 | -688.0 | -696.0 | -7.0625 | -8.1875 |
80
- | 0.1444 | 1.6745 | 1600 | 0.8945 | -3.6406 | -3.8906 | 0.5449 | 0.25 | -680.0 | -684.0 | -6.4375 | -7.6562 |
81
- | 0.1499 | 1.7792 | 1700 | 0.8198 | -4.125 | -4.4375 | 0.5449 | 0.3086 | -732.0 | -732.0 | -5.5938 | -6.8125 |
82
- | 0.132 | 1.8838 | 1800 | 0.9142 | -4.1875 | -4.5 | 0.5371 | 0.3008 | -740.0 | -740.0 | -5.625 | -6.9062 |
83
- | 0.1262 | 1.9885 | 1900 | 0.8738 | -4.1875 | -4.5 | 0.5371 | 0.3184 | -740.0 | -736.0 | -5.3438 | -6.7188 |
84
- | 0.0202 | 2.0931 | 2000 | 1.0958 | -5.5938 | -5.9062 | 0.5234 | 0.3242 | -880.0 | -880.0 | -4.3125 | -5.6875 |
85
- | 0.0169 | 2.1978 | 2100 | 1.1553 | -6.125 | -6.5 | 0.5273 | 0.3770 | -940.0 | -932.0 | -4.1562 | -5.5312 |
86
- | 0.0181 | 2.3025 | 2200 | 1.1497 | -6.125 | -6.5 | 0.5293 | 0.3887 | -940.0 | -932.0 | -4.3438 | -5.7188 |
87
- | 0.0154 | 2.4071 | 2300 | 1.2094 | -6.3125 | -6.6875 | 0.5215 | 0.3730 | -956.0 | -948.0 | -3.9531 | -5.3438 |
88
- | 0.0165 | 2.5118 | 2400 | 1.2153 | -6.6875 | -7.0625 | 0.5352 | 0.3848 | -996.0 | -984.0 | -3.3594 | -4.75 |
89
- | 0.0165 | 2.6164 | 2500 | 1.2408 | -6.4375 | -6.8125 | 0.5215 | 0.3691 | -968.0 | -960.0 | -3.8594 | -5.25 |
90
- | 0.0143 | 2.7211 | 2600 | 1.2348 | -6.6875 | -7.0625 | 0.5176 | 0.3906 | -996.0 | -984.0 | -3.625 | -5.0 |
91
- | 0.0111 | 2.8257 | 2700 | 1.2130 | -6.5625 | -6.9375 | 0.5195 | 0.3965 | -984.0 | -972.0 | -3.5938 | -5.0 |
92
- | 0.0222 | 2.9304 | 2800 | 1.2107 | -6.5312 | -6.9375 | 0.5176 | 0.3906 | -980.0 | -972.0 | -3.5781 | -4.9688 |
93
 
94
 
95
  ### Framework versions
 
17
 
18
  This model was trained from scratch on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.2265
21
+ - Rewards/chosen: -8.0
22
+ - Rewards/rejected: -8.4375
23
+ - Rewards/accuracies: 0.5352
24
+ - Rewards/margins: 0.4336
25
+ - Logps/rejected: -1128.0
26
+ - Logps/chosen: -1120.0
27
+ - Logits/rejected: -8.0
28
+ - Logits/chosen: -9.0625
29
 
30
  ## Model description
31
 
 
62
 
63
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
64
  |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
65
+ | 0.6229 | 0.1047 | 100 | 0.6802 | -0.4512 | -0.5156 | 0.5586 | 0.0625 | -340.0 | -364.0 | -12.25 | -12.5 |
66
+ | 0.6174 | 0.2093 | 200 | 0.6889 | -0.7188 | -0.7773 | 0.5137 | 0.0603 | -366.0 | -390.0 | -11.4375 | -11.8125 |
67
+ | 0.6077 | 0.3140 | 300 | 0.6902 | -0.6797 | -0.7344 | 0.5254 | 0.0540 | -362.0 | -386.0 | -13.0625 | -13.3125 |
68
+ | 0.6414 | 0.4186 | 400 | 0.6948 | -1.5 | -1.6172 | 0.5410 | 0.1128 | -450.0 | -468.0 | -12.6875 | -13.1875 |
69
+ | 0.6487 | 0.5233 | 500 | 0.7254 | -1.9062 | -2.0781 | 0.5332 | 0.1641 | -496.0 | -510.0 | -15.8125 | -15.8125 |
70
+ | 0.6288 | 0.6279 | 600 | 0.7075 | -1.1328 | -1.2188 | 0.5117 | 0.0825 | -410.0 | -432.0 | -11.75 | -12.0625 |
71
+ | 0.6052 | 0.7326 | 700 | 0.7418 | -1.3125 | -1.2969 | 0.5098 | -0.0142 | -418.0 | -450.0 | -14.0625 | -14.0625 |
72
+ | 0.6341 | 0.8373 | 800 | 0.7101 | -1.5 | -1.5703 | 0.5352 | 0.0688 | -446.0 | -468.0 | -14.3125 | -14.25 |
73
+ | 0.6078 | 0.9419 | 900 | 0.6917 | -2.1094 | -2.2812 | 0.5527 | 0.1680 | -516.0 | -528.0 | -14.6875 | -14.5 |
74
+ | 0.1673 | 1.0466 | 1000 | 0.8299 | -3.7812 | -3.9844 | 0.5312 | 0.2129 | -688.0 | -696.0 | -16.0 | -16.5 |
75
+ | 0.1773 | 1.1512 | 1100 | 0.9416 | -3.9531 | -4.1562 | 0.5137 | 0.2070 | -704.0 | -712.0 | -13.4375 | -14.25 |
76
+ | 0.1576 | 1.2559 | 1200 | 0.8432 | -3.9219 | -4.1875 | 0.5410 | 0.2852 | -708.0 | -708.0 | -12.5 | -13.25 |
77
+ | 0.1515 | 1.3605 | 1300 | 0.8620 | -4.1562 | -4.4688 | 0.5391 | 0.3184 | -736.0 | -736.0 | -11.3125 | -12.125 |
78
+ | 0.1313 | 1.4652 | 1400 | 0.8890 | -4.4688 | -4.75 | 0.5371 | 0.3066 | -764.0 | -764.0 | -10.4375 | -11.375 |
79
+ | 0.136 | 1.5699 | 1500 | 0.9517 | -4.2188 | -4.5 | 0.5430 | 0.2871 | -740.0 | -740.0 | -11.875 | -12.625 |
80
+ | 0.1408 | 1.6745 | 1600 | 0.9030 | -4.9062 | -5.1562 | 0.5293 | 0.2656 | -804.0 | -808.0 | -11.5625 | -12.0 |
81
+ | 0.1523 | 1.7792 | 1700 | 0.8839 | -5.1875 | -5.5 | 0.5234 | 0.2891 | -836.0 | -840.0 | -11.1875 | -11.8125 |
82
+ | 0.1322 | 1.8838 | 1800 | 0.9127 | -5.0 | -5.3125 | 0.5488 | 0.3105 | -820.0 | -820.0 | -10.4375 | -11.375 |
83
+ | 0.1263 | 1.9885 | 1900 | 0.8855 | -5.3438 | -5.6875 | 0.5469 | 0.3711 | -860.0 | -852.0 | -10.25 | -11.0625 |
84
+ | 0.0213 | 2.0931 | 2000 | 1.1029 | -6.9688 | -7.3438 | 0.5254 | 0.3711 | -1024.0 | -1016.0 | -9.125 | -10.125 |
85
+ | 0.0184 | 2.1978 | 2100 | 1.1772 | -7.4375 | -7.8438 | 0.5293 | 0.4062 | -1072.0 | -1064.0 | -9.125 | -10.125 |
86
+ | 0.0168 | 2.3025 | 2200 | 1.1779 | -7.6875 | -8.125 | 0.5312 | 0.4375 | -1104.0 | -1088.0 | -8.625 | -9.625 |
87
+ | 0.0156 | 2.4071 | 2300 | 1.2037 | -7.9375 | -8.375 | 0.5293 | 0.4336 | -1128.0 | -1112.0 | -8.5 | -9.5 |
88
+ | 0.0118 | 2.5118 | 2400 | 1.2546 | -8.5 | -9.0 | 0.5391 | 0.4395 | -1184.0 | -1168.0 | -7.5625 | -8.6875 |
89
+ | 0.0168 | 2.6164 | 2500 | 1.2409 | -7.9375 | -8.375 | 0.5352 | 0.4141 | -1120.0 | -1112.0 | -8.125 | -9.1875 |
90
+ | 0.0146 | 2.7211 | 2600 | 1.2412 | -8.0 | -8.4375 | 0.5449 | 0.4336 | -1136.0 | -1120.0 | -8.0625 | -9.125 |
91
+ | 0.0099 | 2.8257 | 2700 | 1.2257 | -7.9688 | -8.4375 | 0.5371 | 0.4355 | -1128.0 | -1120.0 | -8.0625 | -9.125 |
92
+ | 0.0186 | 2.9304 | 2800 | 1.2265 | -8.0 | -8.4375 | 0.5352 | 0.4336 | -1128.0 | -1120.0 | -8.0 | -9.0625 |
93
 
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  ### Framework versions
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@@ -1,22 +1,22 @@
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