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CharlesLi
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OpenELM-1_1B-DPO-full-max-6-reward

Text Generation
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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/Oct06_18-38-13_xe8545-a100-22/events.out.tfevents.1728245762.xe8545-a100-22.2425886.1 +3 -0
  6. runs/Oct07_09-46-22_xe8545-a100-22/events.out.tfevents.1728287887.xe8545-a100-22.2440681.0 +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:
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- - Loss: 1.8412
21
- - Rewards/chosen: -15.5625
22
- - Rewards/rejected: -17.375
23
- - Rewards/accuracies: 0.6035
24
- - Rewards/margins: 1.7891
25
- - Logps/rejected: -2024.0
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- - Logps/chosen: -1872.0
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- - Logits/rejected: 1.625
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- - Logits/chosen: -0.2451
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
- | 0.5954 | 0.1047 | 100 | 0.6902 | -1.1172 | -1.2578 | 0.5742 | 0.1416 | -414.0 | -430.0 | -10.75 | -11.0625 |
66
- | 0.5396 | 0.2094 | 200 | 0.6928 | -2.5156 | -2.8594 | 0.6387 | 0.3438 | -576.0 | -572.0 | -9.6875 | -10.25 |
67
- | 0.5587 | 0.3141 | 300 | 0.7014 | -3.7188 | -4.1562 | 0.6094 | 0.4355 | -704.0 | -692.0 | -8.5625 | -9.4375 |
68
- | 0.5067 | 0.4188 | 400 | 0.7869 | -3.875 | -4.375 | 0.5996 | 0.4961 | -724.0 | -708.0 | -14.0 | -14.9375 |
69
- | 0.525 | 0.5236 | 500 | 0.8500 | -4.625 | -5.3438 | 0.6094 | 0.7109 | -824.0 | -780.0 | -6.8438 | -8.25 |
70
- | 0.5173 | 0.6283 | 600 | 0.7292 | -6.25 | -6.7188 | 0.5723 | 0.4688 | -960.0 | -944.0 | -8.875 | -10.0 |
71
- | 0.4944 | 0.7330 | 700 | 0.7881 | -5.1562 | -5.7812 | 0.6035 | 0.6445 | -868.0 | -832.0 | -6.4062 | -8.0 |
72
- | 0.5113 | 0.8377 | 800 | 0.7106 | -4.7812 | -5.3438 | 0.6113 | 0.5586 | -824.0 | -796.0 | -9.4375 | -10.8125 |
73
- | 0.4589 | 0.9424 | 900 | 0.8807 | -7.4375 | -8.1875 | 0.6094 | 0.7656 | -1112.0 | -1064.0 | -6.1875 | -8.125 |
74
- | 0.1368 | 1.0471 | 1000 | 1.1006 | -8.375 | -9.4375 | 0.5879 | 1.0547 | -1232.0 | -1160.0 | -3.4531 | -5.375 |
75
- | 0.138 | 1.1518 | 1100 | 1.0286 | -8.375 | -9.375 | 0.5977 | 0.9531 | -1224.0 | -1160.0 | -4.0938 | -5.9688 |
76
- | 0.1376 | 1.2565 | 1200 | 1.0962 | -8.6875 | -9.75 | 0.6035 | 1.0312 | -1264.0 | -1192.0 | -1.2266 | -3.0781 |
77
- | 0.1434 | 1.3613 | 1300 | 1.1220 | -9.375 | -10.5 | 0.5801 | 1.1172 | -1336.0 | -1256.0 | -3.7031 | -5.6875 |
78
- | 0.1386 | 1.4660 | 1400 | 1.0638 | -9.4375 | -10.375 | 0.6230 | 0.9570 | -1328.0 | -1256.0 | -3.5 | -5.4688 |
79
- | 0.1258 | 1.5707 | 1500 | 1.1923 | -10.5 | -11.75 | 0.6016 | 1.1953 | -1464.0 | -1368.0 | -2.4062 | -4.5625 |
80
- | 0.1269 | 1.6754 | 1600 | 1.2009 | -9.4375 | -10.625 | 0.6074 | 1.1562 | -1352.0 | -1264.0 | -2.8438 | -5.2188 |
81
- | 0.0967 | 1.7801 | 1700 | 1.1723 | -10.0 | -11.125 | 0.5996 | 1.0859 | -1400.0 | -1320.0 | -1.6328 | -3.6406 |
82
- | 0.112 | 1.8848 | 1800 | 1.0807 | -9.75 | -10.75 | 0.5898 | 0.9805 | -1360.0 | -1296.0 | -2.5 | -4.5 |
83
- | 0.1158 | 1.9895 | 1900 | 1.1470 | -10.875 | -12.0625 | 0.5938 | 1.2109 | -1496.0 | -1400.0 | -1.5391 | -3.5625 |
84
- | 0.0172 | 2.0942 | 2000 | 1.6192 | -14.1875 | -15.6875 | 0.6055 | 1.5078 | -1864.0 | -1736.0 | 0.8438 | -1.1172 |
85
- | 0.012 | 2.1990 | 2100 | 1.7070 | -14.6875 | -16.375 | 0.6016 | 1.6953 | -1928.0 | -1792.0 | 0.5117 | -1.4688 |
86
- | 0.0145 | 2.3037 | 2200 | 1.6657 | -14.0625 | -15.625 | 0.5957 | 1.5547 | -1856.0 | -1728.0 | 0.6875 | -1.2891 |
87
- | 0.0161 | 2.4084 | 2300 | 1.8217 | -15.5625 | -17.25 | 0.6035 | 1.7344 | -2016.0 | -1872.0 | 1.0 | -0.9141 |
88
- | 0.0161 | 2.5131 | 2400 | 1.7852 | -15.0 | -16.625 | 0.6055 | 1.6641 | -1960.0 | -1824.0 | 1.6328 | -0.2471 |
89
- | 0.0182 | 2.6178 | 2500 | 1.9600 | -16.25 | -18.125 | 0.5957 | 1.8125 | -2096.0 | -1952.0 | 1.7578 | -0.1089 |
90
- | 0.0121 | 2.7225 | 2600 | 1.8076 | -15.125 | -16.875 | 0.6113 | 1.7656 | -1976.0 | -1832.0 | 1.4922 | -0.4238 |
91
- | 0.016 | 2.8272 | 2700 | 1.8344 | -15.5 | -17.25 | 0.6055 | 1.7891 | -2016.0 | -1872.0 | 1.6016 | -0.2773 |
92
- | 0.0144 | 2.9319 | 2800 | 1.8412 | -15.5625 | -17.375 | 0.6035 | 1.7891 | -2024.0 | -1872.0 | 1.625 | -0.2451 |
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: 1.8090
21
+ - Rewards/chosen: -15.25
22
+ - Rewards/rejected: -16.875
23
+ - Rewards/accuracies: 0.5859
24
+ - Rewards/margins: 1.6719
25
+ - Logps/rejected: -1984.0
26
+ - Logps/chosen: -1840.0
27
+ - Logits/rejected: 0.0815
28
+ - Logits/chosen: -1.9688
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
+ | 0.5933 | 0.1047 | 100 | 0.6757 | -1.1562 | -1.3125 | 0.5801 | 0.1611 | -420.0 | -434.0 | -11.5625 | -11.875 |
66
+ | 0.5649 | 0.2094 | 200 | 0.6957 | -2.125 | -2.375 | 0.6074 | 0.2451 | -524.0 | -532.0 | -10.125 | -10.5625 |
67
+ | 0.5247 | 0.3141 | 300 | 0.7605 | -4.4688 | -4.9688 | 0.6094 | 0.4980 | -784.0 | -764.0 | -7.6875 | -8.4375 |
68
+ | 0.5128 | 0.4188 | 400 | 0.7887 | -3.7188 | -4.25 | 0.5977 | 0.5195 | -712.0 | -688.0 | -13.25 | -13.875 |
69
+ | 0.5048 | 0.5236 | 500 | 0.7560 | -4.25 | -4.8438 | 0.6309 | 0.6055 | -772.0 | -744.0 | -10.6875 | -11.8125 |
70
+ | 0.4935 | 0.6283 | 600 | 0.7500 | -4.6562 | -5.0938 | 0.5781 | 0.4473 | -800.0 | -784.0 | -14.1875 | -14.875 |
71
+ | 0.4879 | 0.7330 | 700 | 0.7732 | -5.0938 | -5.7812 | 0.6230 | 0.6797 | -868.0 | -828.0 | -12.5 | -13.8125 |
72
+ | 0.4911 | 0.8377 | 800 | 0.7706 | -5.0 | -5.625 | 0.625 | 0.6406 | -852.0 | -816.0 | -13.375 | -14.25 |
73
+ | 0.4586 | 0.9424 | 900 | 0.9273 | -7.5312 | -8.3125 | 0.6113 | 0.7773 | -1120.0 | -1072.0 | -9.0 | -10.6875 |
74
+ | 0.1423 | 1.0471 | 1000 | 1.1068 | -8.75 | -9.6875 | 0.5879 | 0.9609 | -1256.0 | -1192.0 | -7.0625 | -9.125 |
75
+ | 0.1457 | 1.1518 | 1100 | 1.1011 | -8.125 | -9.0625 | 0.5801 | 0.9141 | -1192.0 | -1128.0 | -10.75 | -12.375 |
76
+ | 0.1344 | 1.2565 | 1200 | 1.0089 | -8.375 | -9.375 | 0.5996 | 0.9883 | -1224.0 | -1152.0 | -5.3438 | -7.4062 |
77
+ | 0.1369 | 1.3613 | 1300 | 1.0540 | -9.4375 | -10.625 | 0.6016 | 1.1797 | -1352.0 | -1264.0 | -5.5312 | -7.5938 |
78
+ | 0.1225 | 1.4660 | 1400 | 1.1049 | -9.5625 | -10.625 | 0.6035 | 1.0859 | -1352.0 | -1272.0 | -5.5938 | -7.375 |
79
+ | 0.1276 | 1.5707 | 1500 | 1.1785 | -11.0 | -12.25 | 0.6074 | 1.2344 | -1512.0 | -1416.0 | -1.0625 | -3.0625 |
80
+ | 0.1177 | 1.6754 | 1600 | 1.1486 | -9.5 | -10.75 | 0.6094 | 1.25 | -1368.0 | -1272.0 | -3.8594 | -5.9062 |
81
+ | 0.1007 | 1.7801 | 1700 | 1.1275 | -9.5 | -10.5625 | 0.5840 | 1.0625 | -1344.0 | -1272.0 | -7.75 | -9.3125 |
82
+ | 0.1186 | 1.8848 | 1800 | 1.1385 | -9.9375 | -11.0 | 0.5703 | 1.0547 | -1392.0 | -1312.0 | -5.7188 | -7.4375 |
83
+ | 0.1098 | 1.9895 | 1900 | 1.2803 | -11.9375 | -13.25 | 0.5879 | 1.3359 | -1616.0 | -1512.0 | -2.7031 | -4.6875 |
84
+ | 0.0179 | 2.0942 | 2000 | 1.7014 | -14.5 | -16.0 | 0.5820 | 1.5938 | -1896.0 | -1768.0 | -1.5078 | -3.6406 |
85
+ | 0.0165 | 2.1990 | 2100 | 1.7262 | -14.4375 | -16.125 | 0.5801 | 1.6797 | -1904.0 | -1760.0 | -1.9531 | -4.0625 |
86
+ | 0.0158 | 2.3037 | 2200 | 1.7524 | -14.25 | -15.8125 | 0.5762 | 1.5703 | -1872.0 | -1744.0 | -1.2344 | -3.3594 |
87
+ | 0.0199 | 2.4084 | 2300 | 1.7305 | -14.4375 | -15.9375 | 0.5840 | 1.5391 | -1888.0 | -1760.0 | -0.6211 | -2.6875 |
88
+ | 0.0172 | 2.5131 | 2400 | 1.7391 | -14.5625 | -16.125 | 0.5820 | 1.6016 | -1904.0 | -1776.0 | -0.3164 | -2.3906 |
89
+ | 0.0162 | 2.6178 | 2500 | 1.8456 | -15.5 | -17.25 | 0.5898 | 1.7031 | -2008.0 | -1872.0 | 0.1270 | -1.9219 |
90
+ | 0.0128 | 2.7225 | 2600 | 1.7974 | -15.0625 | -16.75 | 0.5879 | 1.6797 | -1960.0 | -1824.0 | -0.1289 | -2.2031 |
91
+ | 0.0168 | 2.8272 | 2700 | 1.8012 | -15.1875 | -16.875 | 0.5879 | 1.6719 | -1976.0 | -1840.0 | 0.0459 | -2.0156 |
92
+ | 0.0171 | 2.9319 | 2800 | 1.8090 | -15.25 | -16.875 | 0.5859 | 1.6719 | -1984.0 | -1840.0 | 0.0815 | -1.9688 |
93
 
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  ### Framework versions
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@@ -1,22 +1,22 @@
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