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OpenELM-1_1B-DPO-full-max-10-reward

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Files changed (10) hide show
  1. README.md +40 -40
  2. all_results.json +4 -4
  3. config.json +2 -2
  4. generation_config.json +1 -1
  5. model.safetensors +1 -1
  6. runs/Oct05_06-10-28_xe8545-a100-15/events.out.tfevents.1728102218.xe8545-a100-15.1041997.0 +3 -0
  7. tokenizer.json +0 -0
  8. train_results.json +4 -4
  9. trainer_state.json +0 -0
  10. training_args.bin +2 -2
README.md CHANGED
@@ -16,15 +16,15 @@ 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: 1.3938
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- - Rewards/chosen: -10.0625
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- - Rewards/rejected: -12.0625
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- - Rewards/accuracies: 0.6152
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- - Rewards/margins: 2.0156
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- - Logps/rejected: -1496.0
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- - Logps/chosen: -1328.0
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- - Logits/rejected: 1.9375
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- - Logits/chosen: 0.4395
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  ## Model description
30
 
@@ -61,39 +61,39 @@ The following hyperparameters were used during training:
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62
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
63
  |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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- | 0.3669 | 0.1047 | 100 | 0.6720 | -1.4219 | -1.75 | 0.5977 | 0.3301 | -464.0 | -460.0 | -13.0 | -13.25 |
65
- | 0.3019 | 0.2094 | 200 | 0.7079 | -2.1875 | -2.5469 | 0.5801 | 0.3477 | -544.0 | -536.0 | -8.25 | -8.875 |
66
- | 0.2872 | 0.3141 | 300 | 0.9193 | -4.5938 | -5.125 | 0.5508 | 0.5195 | -800.0 | -776.0 | -10.125 | -10.8125 |
67
- | 0.2766 | 0.4188 | 400 | 0.7222 | -3.75 | -4.25 | 0.6074 | 0.5156 | -716.0 | -692.0 | -8.0625 | -8.8125 |
68
- | 0.2443 | 0.5236 | 500 | 0.8614 | -5.1875 | -6.0938 | 0.6055 | 0.8906 | -896.0 | -836.0 | -4.9375 | -5.875 |
69
- | 0.2505 | 0.6283 | 600 | 0.8266 | -4.5 | -5.1875 | 0.5957 | 0.6719 | -808.0 | -768.0 | -4.5938 | -5.6562 |
70
- | 0.2305 | 0.7330 | 700 | 0.7984 | -5.375 | -6.25 | 0.6289 | 0.8594 | -912.0 | -856.0 | -3.7031 | -5.0625 |
71
- | 0.2384 | 0.8377 | 800 | 0.9506 | -5.875 | -6.625 | 0.5723 | 0.7578 | -952.0 | -904.0 | -3.8281 | -5.0312 |
72
- | 0.2003 | 0.9424 | 900 | 0.9553 | -6.8438 | -7.8125 | 0.5938 | 0.9883 | -1072.0 | -1000.0 | -2.5 | -3.75 |
73
- | 0.0478 | 1.0471 | 1000 | 1.2033 | -8.1875 | -9.3125 | 0.5996 | 1.1641 | -1224.0 | -1136.0 | -1.9453 | -3.5156 |
74
- | 0.0626 | 1.1518 | 1100 | 1.1790 | -8.1875 | -9.6875 | 0.5918 | 1.5156 | -1256.0 | -1136.0 | -1.5781 | -3.2031 |
75
- | 0.0518 | 1.2565 | 1200 | 1.1558 | -8.3125 | -9.5 | 0.6016 | 1.2031 | -1240.0 | -1144.0 | -0.2715 | -1.8516 |
76
- | 0.0627 | 1.3613 | 1300 | 1.2760 | -8.0625 | -9.4375 | 0.5918 | 1.3672 | -1232.0 | -1120.0 | -0.9414 | -2.4531 |
77
- | 0.067 | 1.4660 | 1400 | 1.1144 | -7.625 | -9.0 | 0.6113 | 1.3516 | -1184.0 | -1080.0 | 1.1875 | -0.4336 |
78
- | 0.057 | 1.5707 | 1500 | 1.2384 | -8.8125 | -10.25 | 0.5781 | 1.4453 | -1312.0 | -1200.0 | 1.4453 | -0.0266 |
79
- | 0.0549 | 1.6754 | 1600 | 1.1039 | -7.875 | -9.1875 | 0.6016 | 1.3047 | -1208.0 | -1104.0 | 1.4922 | -0.0466 |
80
- | 0.065 | 1.7801 | 1700 | 1.2125 | -8.1875 | -9.8125 | 0.6055 | 1.6016 | -1272.0 | -1136.0 | 1.5391 | -0.0018 |
81
- | 0.0477 | 1.8848 | 1800 | 1.2242 | -8.4375 | -10.0 | 0.6035 | 1.5469 | -1288.0 | -1160.0 | 2.0469 | 0.5508 |
82
- | 0.0232 | 1.9895 | 1900 | 1.1594 | -8.125 | -9.6875 | 0.6152 | 1.5938 | -1256.0 | -1128.0 | 1.9297 | 0.4180 |
83
- | 0.0025 | 2.0942 | 2000 | 1.2469 | -9.1875 | -11.0 | 0.6035 | 1.8438 | -1392.0 | -1232.0 | 2.0938 | 0.5664 |
84
- | 0.0064 | 2.1990 | 2100 | 1.3712 | -10.1875 | -12.1875 | 0.6055 | 1.9844 | -1504.0 | -1336.0 | 2.3281 | 0.8320 |
85
- | 0.0068 | 2.3037 | 2200 | 1.2939 | -9.5625 | -11.4375 | 0.6094 | 1.8359 | -1432.0 | -1280.0 | 2.1094 | 0.6328 |
86
- | 0.0106 | 2.4084 | 2300 | 1.3934 | -10.375 | -12.375 | 0.6074 | 1.9766 | -1528.0 | -1360.0 | 2.2344 | 0.7539 |
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- | 0.0074 | 2.5131 | 2400 | 1.4226 | -10.4375 | -12.4375 | 0.6152 | 2.0312 | -1536.0 | -1360.0 | 2.125 | 0.6367 |
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- | 0.0055 | 2.6178 | 2500 | 1.4319 | -10.5625 | -12.625 | 0.6152 | 2.0625 | -1552.0 | -1376.0 | 2.1094 | 0.6211 |
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- | 0.0094 | 2.7225 | 2600 | 1.3983 | -10.125 | -12.125 | 0.6152 | 2.0156 | -1504.0 | -1328.0 | 1.9375 | 0.4336 |
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- | 0.0045 | 2.8272 | 2700 | 1.3869 | -10.0 | -12.0 | 0.6133 | 2.0156 | -1488.0 | -1320.0 | 1.9297 | 0.4238 |
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- | 0.0065 | 2.9319 | 2800 | 1.3938 | -10.0625 | -12.0625 | 0.6152 | 2.0156 | -1496.0 | -1328.0 | 1.9375 | 0.4395 |
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  ### Framework versions
95
 
96
- - Transformers 4.44.2
97
  - Pytorch 2.3.0
98
- - Datasets 3.0.0
99
- - Tokenizers 0.19.1
 
16
 
17
  This model was trained from scratch on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.5814
20
+ - Rewards/chosen: -10.375
21
+ - Rewards/rejected: -12.25
22
+ - Rewards/accuracies: 0.5938
23
+ - Rewards/margins: 1.8906
24
+ - Logps/rejected: -1520.0
25
+ - Logps/chosen: -1360.0
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+ - Logits/rejected: -5.6875
27
+ - Logits/chosen: -7.5938
28
 
29
  ## Model description
30
 
 
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
+ | 0.3737 | 0.1047 | 100 | 0.6771 | -2.0469 | -2.3906 | 0.5918 | 0.3301 | -528.0 | -524.0 | -13.625 | -13.875 |
65
+ | 0.2761 | 0.2094 | 200 | 0.7596 | -3.1719 | -3.7344 | 0.6035 | 0.5703 | -664.0 | -636.0 | -8.5625 | -9.3125 |
66
+ | 0.2447 | 0.3141 | 300 | 0.8172 | -3.8125 | -4.4688 | 0.6074 | 0.6484 | -736.0 | -700.0 | -13.0625 | -13.75 |
67
+ | 0.2872 | 0.4188 | 400 | 0.7366 | -3.5469 | -4.0312 | 0.5977 | 0.4707 | -692.0 | -672.0 | -10.5625 | -11.4375 |
68
+ | 0.255 | 0.5236 | 500 | 0.8523 | -4.875 | -5.75 | 0.6035 | 0.8672 | -864.0 | -808.0 | -11.4375 | -12.6875 |
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+ | 0.2543 | 0.6283 | 600 | 0.8723 | -4.6562 | -5.2812 | 0.5723 | 0.6328 | -820.0 | -784.0 | -13.5 | -14.1875 |
70
+ | 0.2317 | 0.7330 | 700 | 0.8776 | -4.875 | -5.8125 | 0.6035 | 0.9141 | -868.0 | -808.0 | -9.125 | -10.8125 |
71
+ | 0.2231 | 0.8377 | 800 | 1.0687 | -7.7188 | -8.8125 | 0.5723 | 1.0859 | -1168.0 | -1088.0 | -10.3125 | -11.5625 |
72
+ | 0.2171 | 0.9424 | 900 | 0.9579 | -7.75 | -8.5625 | 0.5762 | 0.8398 | -1144.0 | -1096.0 | -10.125 | -11.0 |
73
+ | 0.0657 | 1.0471 | 1000 | 1.0863 | -7.2812 | -8.375 | 0.5840 | 1.1016 | -1128.0 | -1048.0 | -8.3125 | -9.625 |
74
+ | 0.0641 | 1.1518 | 1100 | 1.1397 | -8.0 | -9.1875 | 0.5977 | 1.1719 | -1208.0 | -1120.0 | -8.9375 | -10.125 |
75
+ | 0.0464 | 1.2565 | 1200 | 1.2448 | -8.3125 | -9.5625 | 0.6016 | 1.2734 | -1248.0 | -1152.0 | -6.3438 | -7.9688 |
76
+ | 0.0455 | 1.3613 | 1300 | 1.2368 | -8.1875 | -9.4375 | 0.5859 | 1.25 | -1232.0 | -1136.0 | -8.5 | -10.0625 |
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+ | 0.0614 | 1.4660 | 1400 | 1.2305 | -8.0 | -9.3125 | 0.5996 | 1.2578 | -1216.0 | -1120.0 | -7.875 | -9.375 |
78
+ | 0.0573 | 1.5707 | 1500 | 1.2170 | -7.8125 | -9.0 | 0.5723 | 1.1641 | -1184.0 | -1104.0 | -11.0625 | -12.375 |
79
+ | 0.0561 | 1.6754 | 1600 | 1.1795 | -9.1875 | -10.5 | 0.6094 | 1.2656 | -1336.0 | -1240.0 | -6.9062 | -8.75 |
80
+ | 0.0735 | 1.7801 | 1700 | 1.3456 | -9.0625 | -10.625 | 0.6055 | 1.5859 | -1352.0 | -1224.0 | -7.0938 | -8.8125 |
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+ | 0.0646 | 1.8848 | 1800 | 1.1507 | -8.25 | -9.625 | 0.6055 | 1.3438 | -1248.0 | -1144.0 | -6.3438 | -7.875 |
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+ | 0.0256 | 1.9895 | 1900 | 1.2247 | -8.625 | -10.125 | 0.5977 | 1.4922 | -1304.0 | -1184.0 | -6.9062 | -8.5 |
83
+ | 0.002 | 2.0942 | 2000 | 1.4274 | -9.9375 | -11.6875 | 0.5957 | 1.75 | -1456.0 | -1312.0 | -5.4688 | -7.3125 |
84
+ | 0.0035 | 2.1990 | 2100 | 1.5121 | -10.125 | -12.0 | 0.6016 | 1.8438 | -1488.0 | -1328.0 | -5.625 | -7.5625 |
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+ | 0.0073 | 2.3037 | 2200 | 1.4838 | -10.25 | -12.0625 | 0.5996 | 1.8125 | -1496.0 | -1344.0 | -5.4062 | -7.25 |
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+ | 0.0081 | 2.4084 | 2300 | 1.5810 | -10.875 | -12.75 | 0.5957 | 1.8984 | -1568.0 | -1408.0 | -4.8125 | -6.6562 |
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+ | 0.0074 | 2.5131 | 2400 | 1.6088 | -10.8125 | -12.6875 | 0.5918 | 1.9141 | -1560.0 | -1400.0 | -5.3438 | -7.2188 |
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+ | 0.0063 | 2.6178 | 2500 | 1.5735 | -10.5 | -12.375 | 0.5938 | 1.8828 | -1528.0 | -1368.0 | -5.5625 | -7.4375 |
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+ | 0.0058 | 2.7225 | 2600 | 1.5902 | -10.5 | -12.4375 | 0.5918 | 1.8906 | -1528.0 | -1368.0 | -5.6562 | -7.5312 |
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+ | 0.0071 | 2.8272 | 2700 | 1.5780 | -10.375 | -12.25 | 0.5898 | 1.8828 | -1512.0 | -1360.0 | -5.7188 | -7.625 |
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+ | 0.0063 | 2.9319 | 2800 | 1.5814 | -10.375 | -12.25 | 0.5938 | 1.8906 | -1520.0 | -1360.0 | -5.6875 | -7.5938 |
92
 
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  ### Framework versions
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+ - Transformers 4.45.1
97
  - Pytorch 2.3.0
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+ - Datasets 3.0.1
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+ - Tokenizers 0.20.0
all_results.json CHANGED
@@ -1,9 +1,9 @@
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config.json CHANGED
@@ -6,7 +6,7 @@
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  ],
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  "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,
@@ -119,7 +119,7 @@
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  "share_input_output_layers": true,
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  "torch_dtype": "bfloat16",
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- "transformers_version": "4.44.2",
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  "use_cache": false,
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  "vocab_size": 32000
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  }
 
6
  ],
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  "auto_map": {
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  "AutoConfig": "configuration_openelm.OpenELMConfig",
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+ "AutoModelForCausalLM": "apple/OpenELM-1_1B--modeling_openelm.OpenELMForCausalLM"
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  },
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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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  "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.1",
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  "use_cache": false,
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  "vocab_size": 32000
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  }
generation_config.json CHANGED
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