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OpenELM-1_1B-DPO-full-max-reward-most-similar

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Files changed (9) hide show
  1. README.md +39 -38
  2. all_results.json +17 -4
  3. eval_results.json +16 -0
  4. model.safetensors +1 -1
  5. runs/Sep10_04-21-15_xe8545-a100-30/events.out.tfevents.1725948816.xe8545-a100-30.2907630.1 +3 -0
  6. runs/Sep22_07-59-07_xe8545-a100-05/events.out.tfevents.1726985345.xe8545-a100-05.372129.0 +3 -0
  7. train_results.json +4 -4
  8. trainer_state.json +0 -0
  9. training_args.bin +2 -2
README.md CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
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  tags:
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  - trl
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  - dpo
 
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  - generated_from_trainer
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  model-index:
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  - name: OpenELM-1_1B-DPO-full-max-reward-most-similar
@@ -16,15 +17,15 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.4525
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- - Rewards/chosen: -5.5938
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- - Rewards/rejected: -6.125
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- - Rewards/accuracies: 0.5234
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- - Rewards/margins: 0.5078
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- - Logps/rejected: -900.0
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- - Logps/chosen: -880.0
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- - Logits/rejected: -16.5
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- - Logits/chosen: -16.75
28
 
29
  ## Model description
30
 
@@ -61,39 +62,39 @@ The following hyperparameters were used during training:
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
- | 0.0972 | 0.1047 | 100 | 0.7389 | -1.3516 | -1.5781 | 0.5527 | 0.2207 | -446.0 | -454.0 | -13.625 | -13.75 |
65
- | 0.0661 | 0.2094 | 200 | 0.9071 | -2.4219 | -2.7969 | 0.5527 | 0.3711 | -568.0 | -560.0 | -12.6875 | -12.9375 |
66
- | 0.0937 | 0.3141 | 300 | 0.9646 | -3.0469 | -3.375 | 0.5156 | 0.3184 | -624.0 | -624.0 | -14.6875 | -15.0 |
67
- | 0.183 | 0.4188 | 400 | 0.9573 | -2.9688 | -3.0625 | 0.5 | 0.0898 | -596.0 | -616.0 | -13.875 | -14.125 |
68
- | 0.0827 | 0.5236 | 500 | 1.1730 | -3.7344 | -4.125 | 0.4902 | 0.3887 | -700.0 | -692.0 | -12.5625 | -12.875 |
69
- | 0.07 | 0.6283 | 600 | 1.0648 | -3.0 | -3.2656 | 0.5176 | 0.2695 | -616.0 | -620.0 | -19.125 | -19.0 |
70
- | 0.0789 | 0.7330 | 700 | 0.8502 | -2.8438 | -2.9531 | 0.5078 | 0.0996 | -584.0 | -604.0 | -12.0 | -12.5 |
71
- | 0.061 | 0.8377 | 800 | 1.2018 | -3.9531 | -4.2188 | 0.5156 | 0.2578 | -708.0 | -712.0 | -17.375 | -17.625 |
72
- | 0.0536 | 0.9424 | 900 | 1.0159 | -3.6875 | -3.8125 | 0.5312 | 0.1299 | -672.0 | -688.0 | -18.0 | -18.125 |
73
- | 0.0051 | 1.0471 | 1000 | 1.0946 | -4.3438 | -4.6875 | 0.5156 | 0.3379 | -756.0 | -752.0 | -15.6875 | -16.125 |
74
- | 0.0049 | 1.1518 | 1100 | 1.2330 | -4.7188 | -5.1875 | 0.5098 | 0.4648 | -808.0 | -788.0 | -17.75 | -17.875 |
75
- | 0.0037 | 1.2565 | 1200 | 1.2518 | -4.75 | -5.25 | 0.5156 | 0.4707 | -812.0 | -796.0 | -18.5 | -18.375 |
76
- | 0.0122 | 1.3613 | 1300 | 1.0438 | -3.9688 | -4.3125 | 0.5312 | 0.3477 | -720.0 | -716.0 | -18.25 | -18.375 |
77
- | 0.0082 | 1.4660 | 1400 | 1.2435 | -4.75 | -5.0625 | 0.5078 | 0.3203 | -796.0 | -792.0 | -16.875 | -17.125 |
78
- | 0.0039 | 1.5707 | 1500 | 1.2731 | -4.875 | -5.2812 | 0.5039 | 0.4023 | -816.0 | -808.0 | -15.3125 | -15.75 |
79
- | 0.0021 | 1.6754 | 1600 | 1.3171 | -4.875 | -5.2812 | 0.5098 | 0.4160 | -820.0 | -808.0 | -15.8125 | -16.125 |
80
- | 0.0146 | 1.7801 | 1700 | 1.2652 | -4.625 | -5.0312 | 0.5020 | 0.4141 | -792.0 | -780.0 | -16.0 | -16.125 |
81
- | 0.0034 | 1.8848 | 1800 | 1.2840 | -4.6875 | -4.9688 | 0.5234 | 0.3027 | -788.0 | -788.0 | -16.0 | -16.25 |
82
- | 0.0031 | 1.9895 | 1900 | 1.2655 | -4.5312 | -4.8438 | 0.5117 | 0.3008 | -772.0 | -772.0 | -16.125 | -16.25 |
83
- | 0.0007 | 2.0942 | 2000 | 1.3138 | -4.875 | -5.25 | 0.5078 | 0.3691 | -812.0 | -804.0 | -16.5 | -16.625 |
84
- | 0.0209 | 2.1990 | 2100 | 1.3850 | -5.25 | -5.6562 | 0.5117 | 0.4258 | -856.0 | -844.0 | -16.75 | -16.875 |
85
- | 0.0007 | 2.3037 | 2200 | 1.4692 | -5.5625 | -6.0625 | 0.5234 | 0.4980 | -896.0 | -876.0 | -16.625 | -16.875 |
86
- | 0.0008 | 2.4084 | 2300 | 1.5070 | -5.8125 | -6.3438 | 0.5176 | 0.5312 | -924.0 | -900.0 | -16.5 | -16.75 |
87
- | 0.0003 | 2.5131 | 2400 | 1.4649 | -5.625 | -6.125 | 0.5234 | 0.5039 | -900.0 | -880.0 | -16.625 | -16.75 |
88
- | 0.0003 | 2.6178 | 2500 | 1.4368 | -5.5312 | -6.0312 | 0.5176 | 0.4980 | -892.0 | -872.0 | -16.5 | -16.75 |
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- | 0.0007 | 2.7225 | 2600 | 1.4452 | -5.5625 | -6.0938 | 0.5215 | 0.5039 | -896.0 | -876.0 | -16.5 | -16.75 |
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- | 0.0009 | 2.8272 | 2700 | 1.4519 | -5.5938 | -6.125 | 0.5234 | 0.5078 | -900.0 | -880.0 | -16.5 | -16.75 |
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- | 0.0005 | 2.9319 | 2800 | 1.4525 | -5.5938 | -6.125 | 0.5234 | 0.5078 | -900.0 | -880.0 | -16.5 | -16.75 |
92
 
93
 
94
  ### Framework versions
95
 
96
  - Transformers 4.44.2
97
  - Pytorch 2.3.0
98
- - Datasets 2.21.0
99
  - Tokenizers 0.19.1
 
3
  tags:
4
  - trl
5
  - dpo
6
+ - alignment-handbook
7
  - generated_from_trainer
8
  model-index:
9
  - name: OpenELM-1_1B-DPO-full-max-reward-most-similar
 
17
 
18
  This model was trained from scratch on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.6250
21
+ - Rewards/chosen: -16.375
22
+ - Rewards/rejected: -18.625
23
+ - Rewards/accuracies: 0.6055
24
+ - Rewards/margins: 2.1406
25
+ - Logps/rejected: -2144.0
26
+ - Logps/chosen: -1960.0
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+ - Logits/rejected: 4.75
28
+ - Logits/chosen: 3.2969
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
+ | 0.5787 | 0.1047 | 100 | 0.6727 | -1.3594 | -1.6328 | 0.6133 | 0.2793 | -452.0 | -454.0 | -10.4375 | -10.875 |
66
+ | 0.5561 | 0.2094 | 200 | 0.7091 | -2.5625 | -3.0625 | 0.6387 | 0.5039 | -596.0 | -576.0 | -3.2969 | -4.3438 |
67
+ | 0.5165 | 0.3141 | 300 | 0.7539 | -4.5938 | -5.1875 | 0.6035 | 0.6016 | -808.0 | -776.0 | -2.8438 | -3.9844 |
68
+ | 0.5008 | 0.4188 | 400 | 0.7994 | -4.7188 | -5.3438 | 0.5918 | 0.6094 | -824.0 | -792.0 | -3.5469 | -4.8438 |
69
+ | 0.505 | 0.5236 | 500 | 0.8047 | -6.2188 | -6.9375 | 0.6016 | 0.7109 | -980.0 | -940.0 | -1.7812 | -3.1406 |
70
+ | 0.5125 | 0.6283 | 600 | 0.8067 | -5.2812 | -5.9375 | 0.6133 | 0.6562 | -884.0 | -848.0 | -1.3281 | -2.6562 |
71
+ | 0.4627 | 0.7330 | 700 | 0.9020 | -4.9375 | -5.9062 | 0.6172 | 0.9648 | -880.0 | -812.0 | -2.1719 | -3.7969 |
72
+ | 0.4583 | 0.8377 | 800 | 0.8516 | -7.3125 | -7.9688 | 0.5488 | 0.6562 | -1088.0 | -1048.0 | -0.8438 | -2.25 |
73
+ | 0.4454 | 0.9424 | 900 | 0.9168 | -6.6875 | -7.5938 | 0.6094 | 0.9297 | -1048.0 | -984.0 | -3.4375 | -5.0 |
74
+ | 0.1656 | 1.0471 | 1000 | 1.0883 | -9.1875 | -10.3125 | 0.6055 | 1.1172 | -1320.0 | -1240.0 | 0.2676 | -1.3984 |
75
+ | 0.1613 | 1.1518 | 1100 | 1.0450 | -9.125 | -10.25 | 0.6152 | 1.1797 | -1312.0 | -1232.0 | 1.8438 | 0.1934 |
76
+ | 0.1616 | 1.2565 | 1200 | 1.0938 | -10.0625 | -11.1875 | 0.5996 | 1.1484 | -1408.0 | -1320.0 | 0.8789 | -0.5898 |
77
+ | 0.1677 | 1.3613 | 1300 | 0.9728 | -7.6562 | -8.9375 | 0.6504 | 1.2422 | -1184.0 | -1088.0 | -0.3652 | -1.9297 |
78
+ | 0.1712 | 1.4660 | 1400 | 1.0911 | -9.8125 | -11.0625 | 0.6016 | 1.2266 | -1392.0 | -1296.0 | -0.3105 | -1.7344 |
79
+ | 0.1723 | 1.5707 | 1500 | 1.0245 | -10.0 | -11.25 | 0.6172 | 1.3047 | -1416.0 | -1312.0 | 0.6992 | -0.7773 |
80
+ | 0.1515 | 1.6754 | 1600 | 1.0037 | -9.0 | -10.3125 | 0.6211 | 1.3359 | -1320.0 | -1216.0 | -0.1299 | -1.7109 |
81
+ | 0.1197 | 1.7801 | 1700 | 1.1304 | -10.75 | -12.125 | 0.5977 | 1.3594 | -1504.0 | -1392.0 | 0.9805 | -0.4961 |
82
+ | 0.1258 | 1.8848 | 1800 | 1.0837 | -10.5 | -11.8125 | 0.6113 | 1.3359 | -1472.0 | -1368.0 | 2.2188 | 0.6797 |
83
+ | 0.118 | 1.9895 | 1900 | 1.0529 | -11.5 | -12.75 | 0.6172 | 1.2578 | -1560.0 | -1464.0 | 3.4062 | 2.0 |
84
+ | 0.03 | 2.0942 | 2000 | 1.4271 | -14.75 | -16.625 | 0.5977 | 1.8516 | -1952.0 | -1792.0 | 4.4375 | 3.0 |
85
+ | 0.0206 | 2.1990 | 2100 | 1.4637 | -14.75 | -16.75 | 0.6230 | 2.0469 | -1968.0 | -1792.0 | 4.8125 | 3.3594 |
86
+ | 0.0301 | 2.3037 | 2200 | 1.5228 | -15.4375 | -17.5 | 0.6152 | 2.0469 | -2040.0 | -1864.0 | 4.625 | 3.1875 |
87
+ | 0.0312 | 2.4084 | 2300 | 1.6112 | -16.375 | -18.5 | 0.6172 | 2.0781 | -2128.0 | -1952.0 | 4.75 | 3.3125 |
88
+ | 0.0379 | 2.5131 | 2400 | 1.6100 | -16.5 | -18.625 | 0.6113 | 2.1094 | -2144.0 | -1968.0 | 4.5938 | 3.1719 |
89
+ | 0.0235 | 2.6178 | 2500 | 1.6536 | -17.0 | -19.125 | 0.6113 | 2.1719 | -2208.0 | -2016.0 | 4.75 | 3.3125 |
90
+ | 0.0198 | 2.7225 | 2600 | 1.6602 | -16.75 | -19.0 | 0.6113 | 2.2031 | -2192.0 | -1992.0 | 4.8125 | 3.3594 |
91
+ | 0.0251 | 2.8272 | 2700 | 1.6070 | -16.25 | -18.375 | 0.6133 | 2.1406 | -2128.0 | -1936.0 | 4.7188 | 3.2656 |
92
+ | 0.0213 | 2.9319 | 2800 | 1.6250 | -16.375 | -18.625 | 0.6055 | 2.1406 | -2144.0 | -1960.0 | 4.75 | 3.2969 |
93
 
94
 
95
  ### Framework versions
96
 
97
  - Transformers 4.44.2
98
  - Pytorch 2.3.0
99
+ - Datasets 3.0.0
100
  - Tokenizers 0.19.1
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