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

Text Generation
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openelm
trl
dpo
alignment-handbook
Generated from Trainer
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CharlesLi commited on
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Files changed (12) hide show
  1. README.md +40 -40
  2. all_results.json +16 -16
  3. config.json +2 -2
  4. eval_results.json +12 -12
  5. generation_config.json +1 -1
  6. model.safetensors +1 -1
  7. runs/Oct03_08-08-49_xe8545-a100-04/events.out.tfevents.1727937077.xe8545-a100-04.390832.0 +3 -0
  8. runs/Sep23_17-21-42_xe8545-a100-17/events.out.tfevents.1727118744.xe8545-a100-17.585970.1 +3 -0
  9. tokenizer.json +0 -0
  10. train_results.json +4 -4
  11. trainer_state.json +0 -0
  12. training_args.bin +2 -2
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: 1.0148
21
- - Rewards/chosen: -3.4375
22
- - Rewards/rejected: -3.625
23
- - Rewards/accuracies: 0.4844
24
- - Rewards/margins: 0.1973
25
- - Logps/rejected: -652.0
26
- - Logps/chosen: -660.0
27
- - Logits/rejected: -11.75
28
- - Logits/chosen: -12.1875
29
 
30
  ## Model description
31
 
@@ -62,39 +62,39 @@ 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
- | 0.1861 | 0.1047 | 100 | 0.6770 | -0.4492 | -0.5586 | 0.5410 | 0.1079 | -344.0 | -364.0 | -14.625 | -14.6875 |
66
- | 0.1137 | 0.2094 | 200 | 0.7199 | -0.8047 | -0.8945 | 0.5156 | 0.0869 | -378.0 | -398.0 | -11.5625 | -11.75 |
67
- | 0.1386 | 0.3141 | 300 | 0.7895 | -1.8984 | -1.9609 | 0.4707 | 0.0583 | -484.0 | -508.0 | -14.4375 | -14.5625 |
68
- | 0.1441 | 0.4188 | 400 | 0.7394 | -1.3359 | -1.3672 | 0.5156 | 0.0354 | -426.0 | -452.0 | -13.4375 | -13.875 |
69
- | 0.1448 | 0.5236 | 500 | 0.8145 | -1.3906 | -1.4375 | 0.4902 | 0.0432 | -432.0 | -458.0 | -17.0 | -17.125 |
70
- | 0.1399 | 0.6283 | 600 | 0.8182 | -2.1719 | -2.1875 | 0.4863 | 0.0214 | -508.0 | -536.0 | -8.125 | -9.125 |
71
- | 0.1254 | 0.7330 | 700 | 0.8278 | -1.7422 | -1.8281 | 0.5039 | 0.0825 | -472.0 | -492.0 | -13.5 | -13.875 |
72
- | 0.1165 | 0.8377 | 800 | 0.8810 | -1.7266 | -1.6953 | 0.4727 | -0.0306 | -458.0 | -492.0 | -14.125 | -14.375 |
73
- | 0.1534 | 0.9424 | 900 | 0.8332 | -2.125 | -2.2031 | 0.4863 | 0.0776 | -510.0 | -532.0 | -11.75 | -12.375 |
74
- | 0.0209 | 1.0471 | 1000 | 0.8379 | -2.0469 | -2.1406 | 0.4785 | 0.1011 | -504.0 | -524.0 | -14.1875 | -14.5625 |
75
- | 0.0342 | 1.1518 | 1100 | 0.8447 | -2.4219 | -2.5469 | 0.5059 | 0.1318 | -544.0 | -560.0 | -14.625 | -15.0625 |
76
- | 0.0166 | 1.2565 | 1200 | 0.8359 | -2.6562 | -2.75 | 0.5020 | 0.0996 | -564.0 | -584.0 | -12.8125 | -13.1875 |
77
- | 0.0195 | 1.3613 | 1300 | 0.8762 | -2.5312 | -2.625 | 0.5039 | 0.0854 | -552.0 | -572.0 | -14.4375 | -14.75 |
78
- | 0.0187 | 1.4660 | 1400 | 0.8860 | -2.4531 | -2.5156 | 0.5039 | 0.0684 | -540.0 | -564.0 | -15.125 | -15.25 |
79
- | 0.0346 | 1.5707 | 1500 | 0.8857 | -2.7031 | -2.8125 | 0.5 | 0.1074 | -572.0 | -588.0 | -13.0625 | -13.4375 |
80
- | 0.016 | 1.6754 | 1600 | 0.9007 | -2.9531 | -3.0312 | 0.4941 | 0.0728 | -592.0 | -612.0 | -12.25 | -12.625 |
81
- | 0.0277 | 1.7801 | 1700 | 0.9100 | -2.8281 | -2.8906 | 0.4980 | 0.0571 | -576.0 | -600.0 | -12.875 | -13.125 |
82
- | 0.0183 | 1.8848 | 1800 | 0.8937 | -2.9219 | -3.0156 | 0.4922 | 0.0991 | -592.0 | -612.0 | -11.4375 | -11.75 |
83
- | 0.0098 | 1.9895 | 1900 | 0.8843 | -2.8125 | -2.9375 | 0.4844 | 0.1318 | -584.0 | -600.0 | -11.5 | -11.9375 |
84
- | 0.0016 | 2.0942 | 2000 | 0.9360 | -2.9688 | -3.125 | 0.4941 | 0.1543 | -600.0 | -616.0 | -11.75 | -12.125 |
85
- | 0.0015 | 2.1990 | 2100 | 0.9743 | -3.1875 | -3.3594 | 0.4824 | 0.1758 | -624.0 | -636.0 | -11.875 | -12.3125 |
86
- | 0.0006 | 2.3037 | 2200 | 0.9987 | -3.3906 | -3.5781 | 0.4980 | 0.1953 | -648.0 | -656.0 | -11.75 | -12.125 |
87
- | 0.0014 | 2.4084 | 2300 | 1.0158 | -3.4688 | -3.6719 | 0.4902 | 0.2031 | -656.0 | -664.0 | -11.75 | -12.1875 |
88
- | 0.0019 | 2.5131 | 2400 | 1.0199 | -3.4844 | -3.6875 | 0.4863 | 0.2051 | -656.0 | -668.0 | -11.75 | -12.1875 |
89
- | 0.001 | 2.6178 | 2500 | 1.0131 | -3.4531 | -3.6406 | 0.4902 | 0.1973 | -652.0 | -664.0 | -11.75 | -12.1875 |
90
- | 0.0012 | 2.7225 | 2600 | 1.0130 | -3.4375 | -3.625 | 0.4941 | 0.1953 | -652.0 | -660.0 | -11.75 | -12.1875 |
91
- | 0.0009 | 2.8272 | 2700 | 1.0145 | -3.4375 | -3.6406 | 0.4844 | 0.1973 | -652.0 | -660.0 | -11.8125 | -12.1875 |
92
- | 0.0011 | 2.9319 | 2800 | 1.0148 | -3.4375 | -3.625 | 0.4844 | 0.1973 | -652.0 | -660.0 | -11.75 | -12.1875 |
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
 
17
 
18
  This model was trained from scratch on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
+ - Loss: 1.0828
21
+ - Rewards/chosen: -3.9844
22
+ - Rewards/rejected: -4.25
23
+ - Rewards/accuracies: 0.5
24
+ - Rewards/margins: 0.25
25
+ - Logps/rejected: -712.0
26
+ - Logps/chosen: -716.0
27
+ - Logits/rejected: -7.0
28
+ - Logits/chosen: -7.875
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
+ | 0.1874 | 0.1047 | 100 | 0.6751 | -0.4551 | -0.5703 | 0.5430 | 0.1152 | -346.0 | -364.0 | -14.4375 | -14.5625 |
66
+ | 0.1191 | 0.2094 | 200 | 0.7004 | -0.7305 | -0.8242 | 0.5215 | 0.0962 | -372.0 | -392.0 | -12.4375 | -12.625 |
67
+ | 0.1411 | 0.3141 | 300 | 0.7418 | -0.9688 | -1.0547 | 0.4766 | 0.0894 | -394.0 | -416.0 | -12.25 | -12.625 |
68
+ | 0.1554 | 0.4188 | 400 | 0.7757 | -1.8906 | -1.9609 | 0.4941 | 0.0688 | -484.0 | -508.0 | -12.0625 | -12.4375 |
69
+ | 0.1334 | 0.5236 | 500 | 0.8440 | -1.8906 | -1.9297 | 0.4805 | 0.0405 | -482.0 | -508.0 | -14.75 | -15.0625 |
70
+ | 0.1429 | 0.6283 | 600 | 0.8180 | -1.6406 | -1.6875 | 0.5078 | 0.0515 | -458.0 | -482.0 | -14.625 | -14.875 |
71
+ | 0.1228 | 0.7330 | 700 | 0.8036 | -1.5625 | -1.7266 | 0.5 | 0.1611 | -460.0 | -474.0 | -14.0625 | -14.4375 |
72
+ | 0.1182 | 0.8377 | 800 | 0.8425 | -1.8438 | -1.9141 | 0.5078 | 0.0664 | -480.0 | -504.0 | -14.875 | -15.125 |
73
+ | 0.1471 | 0.9424 | 900 | 0.8238 | -2.4219 | -2.5312 | 0.5039 | 0.0991 | -540.0 | -560.0 | -13.625 | -13.9375 |
74
+ | 0.0251 | 1.0471 | 1000 | 0.8727 | -2.2969 | -2.4219 | 0.4805 | 0.1289 | -532.0 | -548.0 | -14.0 | -14.25 |
75
+ | 0.033 | 1.1518 | 1100 | 0.8287 | -2.0625 | -2.1094 | 0.5078 | 0.0503 | -500.0 | -524.0 | -13.75 | -14.125 |
76
+ | 0.0204 | 1.2565 | 1200 | 0.8519 | -2.3281 | -2.4688 | 0.5312 | 0.1377 | -536.0 | -552.0 | -11.125 | -11.9375 |
77
+ | 0.0168 | 1.3613 | 1300 | 0.8707 | -2.8906 | -3.0625 | 0.5098 | 0.1748 | -596.0 | -608.0 | -8.9375 | -9.8125 |
78
+ | 0.0183 | 1.4660 | 1400 | 0.9055 | -2.625 | -2.7344 | 0.5 | 0.1172 | -564.0 | -580.0 | -11.5625 | -12.125 |
79
+ | 0.0258 | 1.5707 | 1500 | 0.8797 | -2.3906 | -2.4531 | 0.5098 | 0.0630 | -536.0 | -556.0 | -12.1875 | -12.625 |
80
+ | 0.0168 | 1.6754 | 1600 | 0.9114 | -2.9844 | -3.125 | 0.5059 | 0.1338 | -600.0 | -616.0 | -10.4375 | -11.0 |
81
+ | 0.0313 | 1.7801 | 1700 | 0.9136 | -2.6562 | -2.7344 | 0.5020 | 0.0781 | -564.0 | -584.0 | -8.5625 | -9.25 |
82
+ | 0.0207 | 1.8848 | 1800 | 0.9314 | -3.0781 | -3.2188 | 0.5059 | 0.1289 | -612.0 | -628.0 | -8.6875 | -9.5 |
83
+ | 0.0155 | 1.9895 | 1900 | 0.9222 | -3.2344 | -3.375 | 0.5059 | 0.1416 | -628.0 | -640.0 | -5.75 | -6.6562 |
84
+ | 0.0013 | 2.0942 | 2000 | 0.9954 | -3.4844 | -3.6719 | 0.5020 | 0.1885 | -656.0 | -668.0 | -6.625 | -7.5312 |
85
+ | 0.0018 | 2.1990 | 2100 | 1.0399 | -3.6562 | -3.875 | 0.4980 | 0.2119 | -676.0 | -684.0 | -6.75 | -7.5938 |
86
+ | 0.0012 | 2.3037 | 2200 | 1.0474 | -3.8125 | -4.0312 | 0.5 | 0.2363 | -692.0 | -700.0 | -7.25 | -8.0625 |
87
+ | 0.0012 | 2.4084 | 2300 | 1.0703 | -3.9531 | -4.1875 | 0.4922 | 0.2451 | -708.0 | -712.0 | -7.125 | -7.9688 |
88
+ | 0.0014 | 2.5131 | 2400 | 1.0872 | -4.0312 | -4.3125 | 0.4980 | 0.2598 | -720.0 | -724.0 | -7.125 | -8.0 |
89
+ | 0.0013 | 2.6178 | 2500 | 1.0783 | -3.9688 | -4.2188 | 0.5020 | 0.2490 | -712.0 | -716.0 | -6.9375 | -7.8125 |
90
+ | 0.001 | 2.7225 | 2600 | 1.0849 | -4.0 | -4.25 | 0.5020 | 0.2520 | -712.0 | -720.0 | -6.9688 | -7.8438 |
91
+ | 0.0008 | 2.8272 | 2700 | 1.0824 | -3.9844 | -4.25 | 0.4980 | 0.2520 | -712.0 | -716.0 | -7.0 | -7.875 |
92
+ | 0.0007 | 2.9319 | 2800 | 1.0828 | -3.9844 | -4.25 | 0.5 | 0.25 | -712.0 | -716.0 | -7.0 | -7.875 |
93
 
94
 
95
  ### Framework versions
96
 
97
+ - Transformers 4.45.1
98
  - Pytorch 2.3.0
99
+ - Datasets 3.0.1
100
+ - Tokenizers 0.20.0
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config.json CHANGED
@@ -6,7 +6,7 @@
6
  ],
7
  "auto_map": {
8
  "AutoConfig": "configuration_openelm.OpenELMConfig",
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- "AutoModelForCausalLM": "modeling_openelm.OpenELMForCausalLM"
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  },
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  "bos_token_id": 1,
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  "eos_token_id": 2,
@@ -119,7 +119,7 @@
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  "rope_max_length": 4096,
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  "share_input_output_layers": true,
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  "torch_dtype": "bfloat16",
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  "use_cache": false,
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  "vocab_size": 32000
125
  }
 
6
  ],
7
  "auto_map": {
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  "AutoConfig": "configuration_openelm.OpenELMConfig",
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  "bos_token_id": 1,
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  "eos_token_id": 2,
 
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  "rope_max_length": 4096,
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  "share_input_output_layers": true,
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  "vocab_size": 32000
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  }
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