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OpenELM-1_1B-DPO-full-max-4-reward

Text Generation
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Files changed (10) hide show
  1. README.md +46 -39
  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_06-10-41_xe8545-a100-14/events.out.tfevents.1728102120.xe8545-a100-14.957316.0 +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: 1.5947
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- - Rewards/chosen: -11.75
21
- - Rewards/rejected: -13.0625
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- - Rewards/accuracies: 0.5859
23
  - Rewards/margins: 1.3047
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- - Logps/rejected: -1592.0
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- - Logps/chosen: -1496.0
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- - Logits/rejected: 7.0
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- - Logits/chosen: 5.0
28
 
29
  ## Model description
30
 
@@ -61,39 +61,46 @@ 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
- | 0.6518 | 0.1047 | 100 | 0.6871 | -0.7969 | -0.9141 | 0.5957 | 0.1147 | -380.0 | -398.0 | -11.5 | -11.8125 |
65
- | 0.6218 | 0.2094 | 200 | 0.6913 | -1.0156 | -1.1641 | 0.5820 | 0.1475 | -406.0 | -420.0 | -14.375 | -14.75 |
66
- | 0.6888 | 0.3141 | 300 | 0.7234 | -2.375 | -2.5625 | 0.5781 | 0.1846 | -544.0 | -556.0 | -8.4375 | -9.125 |
67
- | 0.6369 | 0.4188 | 400 | 0.7126 | -2.3438 | -2.6094 | 0.5801 | 0.2617 | -548.0 | -552.0 | -7.5625 | -8.4375 |
68
- | 0.6137 | 0.5236 | 500 | 0.7105 | -2.7031 | -2.9219 | 0.5566 | 0.2305 | -580.0 | -588.0 | -7.375 | -8.125 |
69
- | 0.6137 | 0.6283 | 600 | 0.7353 | -2.6562 | -2.9844 | 0.5762 | 0.3320 | -588.0 | -584.0 | -9.3125 | -10.375 |
70
- | 0.5821 | 0.7330 | 700 | 0.7151 | -3.125 | -3.5469 | 0.6113 | 0.4199 | -644.0 | -632.0 | -3.9375 | -5.375 |
71
- | 0.5988 | 0.8377 | 800 | 0.7464 | -3.8281 | -4.2188 | 0.5938 | 0.4023 | -712.0 | -700.0 | -4.5625 | -5.875 |
72
- | 0.5824 | 0.9424 | 900 | 0.7908 | -4.6875 | -5.1562 | 0.5898 | 0.4824 | -804.0 | -788.0 | -3.0 | -4.4375 |
73
- | 0.1932 | 1.0471 | 1000 | 1.0389 | -5.7812 | -6.5312 | 0.6094 | 0.7422 | -944.0 | -900.0 | 1.0312 | -0.7656 |
74
- | 0.1611 | 1.1518 | 1100 | 1.1813 | -7.9375 | -8.75 | 0.6035 | 0.8398 | -1168.0 | -1112.0 | 1.7188 | -0.0381 |
75
- | 0.1677 | 1.2565 | 1200 | 1.0715 | -7.5938 | -8.375 | 0.5840 | 0.7617 | -1128.0 | -1080.0 | 4.7188 | 2.8281 |
76
- | 0.1871 | 1.3613 | 1300 | 0.9756 | -5.6875 | -6.5938 | 0.5898 | 0.8828 | -948.0 | -888.0 | 1.0703 | -0.7188 |
77
- | 0.169 | 1.4660 | 1400 | 0.9983 | -6.4688 | -7.375 | 0.5938 | 0.9180 | -1024.0 | -964.0 | 2.8281 | 1.0234 |
78
- | 0.1895 | 1.5707 | 1500 | 0.9507 | -7.2188 | -8.0625 | 0.6133 | 0.8398 | -1096.0 | -1040.0 | 4.2812 | 2.4219 |
79
- | 0.1599 | 1.6754 | 1600 | 1.0500 | -8.0625 | -8.9375 | 0.5957 | 0.8594 | -1184.0 | -1128.0 | 3.9219 | 2.125 |
80
- | 0.1422 | 1.7801 | 1700 | 1.0821 | -7.3125 | -8.25 | 0.5703 | 0.9453 | -1112.0 | -1048.0 | 2.0312 | 0.0234 |
81
- | 0.154 | 1.8848 | 1800 | 0.9749 | -6.6562 | -7.5625 | 0.5898 | 0.8945 | -1048.0 | -984.0 | 1.4219 | -0.4570 |
82
- | 0.1366 | 1.9895 | 1900 | 1.0059 | -7.3125 | -8.3125 | 0.6055 | 1.0234 | -1120.0 | -1048.0 | 2.625 | 0.5391 |
83
- | 0.0218 | 2.0942 | 2000 | 1.4653 | -10.0625 | -11.125 | 0.6016 | 1.0547 | -1400.0 | -1328.0 | 5.375 | 3.2812 |
84
- | 0.0277 | 2.1990 | 2100 | 1.5156 | -11.1875 | -12.4375 | 0.5977 | 1.2422 | -1528.0 | -1440.0 | 6.4062 | 4.375 |
85
- | 0.0238 | 2.3037 | 2200 | 1.5465 | -11.25 | -12.5 | 0.5938 | 1.25 | -1544.0 | -1448.0 | 6.5 | 4.5 |
86
- | 0.0241 | 2.4084 | 2300 | 1.5830 | -11.6875 | -13.0625 | 0.5938 | 1.3281 | -1592.0 | -1488.0 | 6.875 | 4.875 |
87
- | 0.0263 | 2.5131 | 2400 | 1.5517 | -11.8125 | -13.0625 | 0.5977 | 1.2969 | -1600.0 | -1496.0 | 7.125 | 5.1562 |
88
- | 0.018 | 2.6178 | 2500 | 1.5664 | -11.3125 | -12.5625 | 0.5918 | 1.2891 | -1544.0 | -1448.0 | 6.7188 | 4.6875 |
89
- | 0.0149 | 2.7225 | 2600 | 1.6001 | -11.8125 | -13.125 | 0.5859 | 1.3047 | -1600.0 | -1504.0 | 7.0938 | 5.125 |
90
- | 0.0232 | 2.8272 | 2700 | 1.5904 | -11.75 | -13.0625 | 0.5879 | 1.2891 | -1592.0 | -1496.0 | 7.0625 | 5.0625 |
91
- | 0.0165 | 2.9319 | 2800 | 1.5947 | -11.75 | -13.0625 | 0.5859 | 1.3047 | -1592.0 | -1496.0 | 7.0 | 5.0 |
 
 
 
 
 
 
 
92
 
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94
  ### 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: 1.5952
20
+ - Rewards/chosen: -13.125
21
+ - Rewards/rejected: -14.4375
22
+ - Rewards/accuracies: 0.6035
23
  - Rewards/margins: 1.3047
24
+ - Logps/rejected: -1728.0
25
+ - Logps/chosen: -1632.0
26
+ - Logits/rejected: 2.4062
27
+ - Logits/chosen: 0.5391
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
+ | 0.6374 | 0.0838 | 80 | 0.6876 | -0.6875 | -0.7773 | 0.5664 | 0.0908 | -366.0 | -386.0 | -9.8125 | -10.125 |
65
+ | 0.6205 | 0.1675 | 160 | 0.6953 | -1.2266 | -1.375 | 0.5840 | 0.1475 | -426.0 | -440.0 | -11.4375 | -11.75 |
66
+ | 0.6209 | 0.2513 | 240 | 0.7235 | -1.6016 | -1.7578 | 0.5762 | 0.1553 | -464.0 | -478.0 | -12.125 | -12.375 |
67
+ | 0.6605 | 0.3351 | 320 | 0.7567 | -2.7969 | -3.0469 | 0.5996 | 0.2461 | -592.0 | -600.0 | -12.375 | -12.6875 |
68
+ | 0.6471 | 0.4188 | 400 | 0.7148 | -2.7031 | -2.875 | 0.5801 | 0.1816 | -576.0 | -588.0 | -12.0625 | -12.5 |
69
+ | 0.6121 | 0.5026 | 480 | 0.7704 | -4.1562 | -4.5625 | 0.5879 | 0.3945 | -744.0 | -736.0 | -7.4062 | -8.1875 |
70
+ | 0.6059 | 0.5864 | 560 | 0.7471 | -4.125 | -4.4688 | 0.5957 | 0.3320 | -736.0 | -732.0 | -11.25 | -11.9375 |
71
+ | 0.5698 | 0.6702 | 640 | 0.7281 | -3.3125 | -3.7344 | 0.6367 | 0.4297 | -660.0 | -648.0 | -14.1875 | -15.1875 |
72
+ | 0.6151 | 0.7539 | 720 | 0.7413 | -2.8438 | -3.1562 | 0.5840 | 0.3105 | -604.0 | -604.0 | -12.625 | -13.0625 |
73
+ | 0.5859 | 0.8377 | 800 | 0.7781 | -4.7812 | -5.2812 | 0.6074 | 0.4844 | -816.0 | -796.0 | -8.5 | -9.8125 |
74
+ | 0.6049 | 0.9215 | 880 | 0.7388 | -2.8281 | -3.125 | 0.5977 | 0.2930 | -600.0 | -600.0 | -12.3125 | -12.6875 |
75
+ | 0.4217 | 1.0052 | 960 | 0.7678 | -5.1875 | -5.8438 | 0.6465 | 0.6562 | -872.0 | -836.0 | -6.3125 | -7.8125 |
76
+ | 0.1894 | 1.0890 | 1040 | 1.0973 | -6.9688 | -7.625 | 0.6074 | 0.6719 | -1056.0 | -1016.0 | -4.3438 | -6.0 |
77
+ | 0.1959 | 1.1728 | 1120 | 0.9770 | -6.75 | -7.5 | 0.6133 | 0.7422 | -1040.0 | -992.0 | -3.9062 | -5.625 |
78
+ | 0.17 | 1.2565 | 1200 | 1.0293 | -7.2188 | -7.9062 | 0.6094 | 0.6719 | -1080.0 | -1040.0 | -4.5625 | -6.0938 |
79
+ | 0.1857 | 1.3403 | 1280 | 0.9556 | -7.0625 | -7.8125 | 0.5996 | 0.7578 | -1072.0 | -1024.0 | -5.75 | -7.3125 |
80
+ | 0.1872 | 1.4241 | 1360 | 0.9190 | -7.25 | -8.0625 | 0.5938 | 0.8359 | -1096.0 | -1040.0 | -4.7812 | -6.4375 |
81
+ | 0.1445 | 1.5079 | 1440 | 1.0569 | -9.0 | -9.9375 | 0.5996 | 0.9258 | -1280.0 | -1216.0 | -3.7656 | -5.3438 |
82
+ | 0.136 | 1.5916 | 1520 | 1.0663 | -9.5625 | -10.4375 | 0.6191 | 0.9219 | -1336.0 | -1272.0 | -2.3125 | -4.0312 |
83
+ | 0.1765 | 1.6754 | 1600 | 1.0288 | -8.0625 | -8.9375 | 0.6133 | 0.875 | -1184.0 | -1128.0 | -2.6562 | -4.5312 |
84
+ | 0.1661 | 1.7592 | 1680 | 1.0917 | -8.0625 | -8.9375 | 0.6035 | 0.8633 | -1184.0 | -1128.0 | -2.7656 | -4.6562 |
85
+ | 0.1451 | 1.8429 | 1760 | 1.0870 | -8.375 | -9.25 | 0.5957 | 0.8867 | -1216.0 | -1152.0 | -2.9688 | -4.6875 |
86
+ | 0.1712 | 1.9267 | 1840 | 1.0650 | -8.6875 | -9.6875 | 0.6172 | 0.9922 | -1256.0 | -1184.0 | -2.4375 | -4.3125 |
87
+ | 0.0278 | 2.0105 | 1920 | 1.0530 | -8.875 | -9.875 | 0.6152 | 0.9805 | -1272.0 | -1208.0 | -1.8906 | -3.8125 |
88
+ | 0.0225 | 2.0942 | 2000 | 1.4602 | -11.5 | -12.5625 | 0.6035 | 1.0312 | -1544.0 | -1472.0 | 0.4297 | -1.5547 |
89
+ | 0.0182 | 2.1780 | 2080 | 1.5544 | -12.6875 | -13.8125 | 0.5977 | 1.1172 | -1672.0 | -1592.0 | 1.7266 | -0.1621 |
90
+ | 0.0385 | 2.2618 | 2160 | 1.5476 | -13.0 | -14.1875 | 0.6016 | 1.1953 | -1712.0 | -1616.0 | 1.5859 | -0.2598 |
91
+ | 0.0162 | 2.3455 | 2240 | 1.5637 | -12.8125 | -13.9375 | 0.6016 | 1.1641 | -1688.0 | -1600.0 | 1.8984 | 0.0913 |
92
+ | 0.0239 | 2.4293 | 2320 | 1.4822 | -11.9375 | -13.0625 | 0.5938 | 1.1797 | -1600.0 | -1512.0 | 1.2422 | -0.6172 |
93
+ | 0.0264 | 2.5131 | 2400 | 1.6307 | -13.375 | -14.6875 | 0.6035 | 1.3047 | -1760.0 | -1656.0 | 2.4688 | 0.6406 |
94
+ | 0.024 | 2.5969 | 2480 | 1.5421 | -12.3125 | -13.5625 | 0.5996 | 1.2188 | -1640.0 | -1552.0 | 1.7422 | -0.1631 |
95
+ | 0.0217 | 2.6806 | 2560 | 1.6061 | -13.0 | -14.25 | 0.6035 | 1.2656 | -1720.0 | -1616.0 | 2.2656 | 0.3770 |
96
+ | 0.0208 | 2.7644 | 2640 | 1.5995 | -13.1875 | -14.4375 | 0.6055 | 1.2812 | -1736.0 | -1632.0 | 2.5156 | 0.6602 |
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+ | 0.0206 | 2.8482 | 2720 | 1.5964 | -13.1875 | -14.4375 | 0.6055 | 1.2969 | -1736.0 | -1632.0 | 2.4688 | 0.6133 |
98
+ | 0.0163 | 2.9319 | 2800 | 1.5952 | -13.125 | -14.4375 | 0.6035 | 1.3047 | -1728.0 | -1632.0 | 2.4062 | 0.5391 |
99
 
100
 
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  ### Framework versions
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+ - Transformers 4.45.1
104
  - Pytorch 2.3.0
105
+ - Datasets 3.0.1
106
+ - Tokenizers 0.20.0
all_results.json CHANGED
@@ -1,9 +1,9 @@
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  {
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  "epoch": 3.0,
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  "total_flos": 0.0,
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  "train_samples": 61119,
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- "train_samples_per_second": 14.906,
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- "train_steps_per_second": 0.233
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  }
 
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  "epoch": 3.0,
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  "total_flos": 0.0,
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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"
10
  },
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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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- "transformers_version": "4.44.2",
123
  "use_cache": false,
124
  "vocab_size": 32000
125
  }
 
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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  "use_cache": false,
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  "vocab_size": 32000
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  }
generation_config.json CHANGED
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