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one-man-army
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una-neural-chat-v3-3-P2-OMA

Text Generation
Transformers
Safetensors
mistral
alignment-handbook
Generated from Trainer
text-generation-inference
Inference Endpoints
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  1. README.md +98 -0
  2. UMA.nfo +98 -0
  3. config.json +25 -0
  4. generation_config.json +6 -0
  5. model-00001-of-00003.safetensors +3 -0
  6. model-00002-of-00003.safetensors +3 -0
  7. model-00003-of-00003.safetensors +3 -0
  8. model.safetensors.index.json +298 -0
  9. special_tokens_map.json +28 -0
  10. tokenizer.model +3 -0
  11. tokenizer_config.json +46 -0
README.md ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: one-man-army/una-neural-chat-v3-3-P1-OMA
4
+ tags:
5
+ - alignment-handbook
6
+ - generated_from_trainer
7
+ datasets:
8
+ - allenai/ultrafeedback_binarized_cleaned
9
+ model-index:
10
+ - name: una-neural-chat-v3-3-P2
11
+ results: []
12
+ ---
13
+
14
+ ```
15
+ --- . ____ ----- ______ ----- .
16
+ ___ / \ ..................... ____ / \
17
+ .' '. -- ..:::::''''''''''''''''':::::.. .' '.
18
+ --- | ^ ^ | .::::'''' (_ ''''::::. -- | ^ ^ '
19
+ | ^ ^ | .::'' _) ''::. | ^ ^ | --
20
+ ____ '...' .::' .-. (_ '::. '...'
21
+ .-.!_ .::' _) / \ '::. ! ____
22
+ / / `-`.:' '-.-' _) ':..""".
23
+ -- ' | '.|:' _) .'. (_ ':/' | \
24
+ | | |'. _/^---^\_ | . --
25
+ ___ \ . '| \-------../ (_ \ '.'
26
+ ' : ' _) '.\:::/.' (_ )_ |' || ___
27
+ | | .| _( | | |'| / ' . |
28
+ -- | '. | \ '.\ /.' '. | |--
29
+ |'. '| |[ ]| (_ | .' |____
30
+ __ .'\ | .'\ '.^.' \ |. .
31
+ .'-.\'. | | _) (:) | ||| |
32
+ .' \'..' . _..--'''--.._ (_ /'-._.-'| ---
33
+ | `-..'. .-' '-. | .-'.
34
+ \ `-. .' .. .. '. .'-._.-' `.
35
+ -- ) `-./ '::. .::' \ _.-' /
36
+ '._/-.. / '::. .::' \-' .-'
37
+ ::.`-. '' ':: ::' '' _..-\_.'
38
+ ::: '._ | \ ' ' / | .-' .:: _____
39
+ ____ ::: `-.| ' .----..___..----. ' | .-' :::
40
+ ::: \ | _..--. .--.._ | /-' ::: ---
41
+ ::: _) | ' / | | \ ' | ( :::
42
+ -- ::: ) | _.' '._ | ( )_ :::____
43
+ ____ ::: /'. \_.' )\ /( '._/ .'\ (_ :::
44
+ ::: .-'| `-->-@ / \ @->--' |-. :::
45
+ ::: .-' \ | / \ | / `-. ::: ---
46
+ ---- '' _.-' | )/ \( | `-. ::: _____
47
+ _.-=--..-' . \ /\ /\ / `-. ''
48
+ /.._ `. .-' .\ '-.\.\\.//./.-' /.`-. `---.._
49
+ | `. \ .-' | '. .' | `-. \
50
+ \ _\. `.-' | '-././.\.\.-' | `. |
51
+ `.-' | /::::::::::: \ /::::::::`. ,-. /
52
+ - | / /LGB ---- '-. .-' ---- `. | \_.'
53
+ __ \ | .' _____ '-._._._._.-' ____ | | |
54
+ `--' `-. '._ / --
55
+ `...-'
56
+ ```
57
+ MESS WITH THE BEST, DIE LIKE THE REST
58
+ --=- D*D - R****1911 - F***L***T - P***D*X -=--
59
+ THE WORLD NEED US BACK :)
60
+
61
+ OMA, OneManArmy presents, `una-neural-chat-v3-3` **PHASE 2**. Powered by UNA (Uniform Neural Alignment), using zephyr trainer, allenai/ultrafeedback cleaned.. and JUST THAT.
62
+ Outperforming its base model, not adding any data.. just UNA Algorythm on Transformers Lib.
63
+ UNA Settings:
64
+ * MLP : 0.05
65
+ * ATT : 0.03
66
+ * LNOR : 0.02
67
+
68
+ # una-neural-chat-v3-3-phase2
69
+
70
+ This model is a fine-tuned version of [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) on the allenai/ultrafeedback_binarized_cleaned dataset.
71
+ It achieves the following results on the evaluation set:
72
+ - Loss: 0.4524
73
+ - Rewards/chosen: -0.7101
74
+ - Rewards/rejected: -2.0953
75
+ - Rewards/accuracies: 0.7831
76
+ - Rewards/margins: 1.3852
77
+ - Logps/rejected: -321.5471
78
+ - Logps/chosen: -327.5048
79
+ - Logits/rejected: -2.6445
80
+ - Logits/chosen: -2.6674
81
+
82
+ ### Training results
83
+
84
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
85
+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
86
+ | 0.5431 | 0.2 | 380 | 0.4900 | -0.6823 | -1.6613 | 0.7607 | 0.9790 | -317.2069 | -327.2263 | -2.6478 | -2.6651 |
87
+ | 0.4369 | 0.4 | 760 | 0.4783 | -0.7562 | -2.1298 | 0.7719 | 1.3737 | -321.8924 | -327.9652 | -2.7370 | -2.7562 |
88
+ | 0.4005 | 0.6 | 1140 | 0.4697 | -0.6913 | -2.0134 | 0.7770 | 1.3221 | -320.7278 | -327.3167 | -2.7067 | -2.7224 |
89
+ | 0.3759 | 0.8 | 1520 | 0.4568 | -0.7387 | -2.0643 | 0.7882 | 1.3256 | -321.2370 | -327.7909 | -2.6626 | -2.6829 |
90
+ | 0.5213 | 1.0 | 1900 | 0.4524 | -0.7101 | -2.0953 | 0.7831 | 1.3852 | -321.5471 | -327.5048 | -2.6445 | -2.6674 |
91
+
92
+
93
+ ### Framework versions
94
+
95
+ - Transformers 4.35.0-UNA
96
+ - Pytorch 2.1.0
97
+ - Datasets 2.14.6
98
+ - Tokenizers 0.14.1
UMA.nfo ADDED
@@ -0,0 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: one-man-army/una-neural-chat-v3-3-P1-OMA
4
+ tags:
5
+ - alignment-handbook
6
+ - generated_from_trainer
7
+ datasets:
8
+ - allenai/ultrafeedback_binarized_cleaned
9
+ model-index:
10
+ - name: una-neural-chat-v3-3-P2
11
+ results: []
12
+ ---
13
+
14
+ ```
15
+ --- . ____ ----- ______ ----- .
16
+ ___ / \ ..................... ____ / \
17
+ .' '. -- ..:::::''''''''''''''''':::::.. .' '.
18
+ --- | ^ ^ | .::::'''' (_ ''''::::. -- | ^ ^ '
19
+ | ^ ^ | .::'' _) ''::. | ^ ^ | --
20
+ ____ '...' .::' .-. (_ '::. '...'
21
+ .-.!_ .::' _) / \ '::. ! ____
22
+ / / `-`.:' '-.-' _) ':..""".
23
+ -- ' | '.|:' _) .'. (_ ':/' | \
24
+ | | |'. _/^---^\_ | . --
25
+ ___ \ . '| \-------../ (_ \ '.'
26
+ ' : ' _) '.\:::/.' (_ )_ |' || ___
27
+ | | .| _( | | |'| / ' . |
28
+ -- | '. | \ '.\ /.' '. | |--
29
+ |'. '| |[ ]| (_ | .' |____
30
+ __ .'\ | .'\ '.^.' \ |. .
31
+ .'-.\'. | | _) (:) | ||| |
32
+ .' \'..' . _..--'''--.._ (_ /'-._.-'| ---
33
+ | `-..'. .-' '-. | .-'.
34
+ \ `-. .' .. .. '. .'-._.-' `.
35
+ -- ) `-./ '::. .::' \ _.-' /
36
+ '._/-.. / '::. .::' \-' .-'
37
+ ::.`-. '' ':: ::' '' _..-\_.'
38
+ ::: '._ | \ ' ' / | .-' .:: _____
39
+ ____ ::: `-.| ' .----..___..----. ' | .-' :::
40
+ ::: \ | _..--. .--.._ | /-' ::: ---
41
+ ::: _) | ' / | | \ ' | ( :::
42
+ -- ::: ) | _.' '._ | ( )_ :::____
43
+ ____ ::: /'. \_.' )\ /( '._/ .'\ (_ :::
44
+ ::: .-'| `-->-@ / \ @->--' |-. :::
45
+ ::: .-' \ | / \ | / `-. ::: ---
46
+ ---- '' _.-' | )/ \( | `-. ::: _____
47
+ _.-=--..-' . \ /\ /\ / `-. ''
48
+ /.._ `. .-' .\ '-.\.\\.//./.-' /.`-. `---.._
49
+ | `. \ .-' | '. .' | `-. \
50
+ \ _\. `.-' | '-././.\.\.-' | `. |
51
+ `.-' | /::::::::::: \ /::::::::`. ,-. /
52
+ - | / /LGB ---- '-. .-' ---- `. | \_.'
53
+ __ \ | .' _____ '-._._._._.-' ____ | | |
54
+ `--' `-. '._ / --
55
+ `...-'
56
+ ```
57
+ MESS WITH THE BEST, DIE LIKE THE REST
58
+ --=- D*D - R****1911 - F***L***T - P***D*X -=--
59
+ THE WORLD NEED US BACK :)
60
+
61
+ OMA, OneManArmy presents, `una-neural-chat-v3-3` **PHASE 2**. Powered by UNA (Uniform Neural Alignment), using zephyr trainer, allenai/ultrafeedback cleaned.. and JUST THAT.
62
+ Outperforming its base model, not adding any data.. just UNA Algorythm on Transformers Lib.
63
+ UNA Settings:
64
+ * MLP : 0.05
65
+ * ATT : 0.03
66
+ * LNOR : 0.02
67
+
68
+ # una-neural-chat-v3-3-phase2
69
+
70
+ This model is a fine-tuned version of [Intel/neural-chat-7b-v3-3](https://huggingface.co/Intel/neural-chat-7b-v3-3) on the allenai/ultrafeedback_binarized_cleaned dataset.
71
+ It achieves the following results on the evaluation set:
72
+ - Loss: 0.4524
73
+ - Rewards/chosen: -0.7101
74
+ - Rewards/rejected: -2.0953
75
+ - Rewards/accuracies: 0.7831
76
+ - Rewards/margins: 1.3852
77
+ - Logps/rejected: -321.5471
78
+ - Logps/chosen: -327.5048
79
+ - Logits/rejected: -2.6445
80
+ - Logits/chosen: -2.6674
81
+
82
+ ### Training results
83
+
84
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
85
+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
86
+ | 0.5431 | 0.2 | 380 | 0.4900 | -0.6823 | -1.6613 | 0.7607 | 0.9790 | -317.2069 | -327.2263 | -2.6478 | -2.6651 |
87
+ | 0.4369 | 0.4 | 760 | 0.4783 | -0.7562 | -2.1298 | 0.7719 | 1.3737 | -321.8924 | -327.9652 | -2.7370 | -2.7562 |
88
+ | 0.4005 | 0.6 | 1140 | 0.4697 | -0.6913 | -2.0134 | 0.7770 | 1.3221 | -320.7278 | -327.3167 | -2.7067 | -2.7224 |
89
+ | 0.3759 | 0.8 | 1520 | 0.4568 | -0.7387 | -2.0643 | 0.7882 | 1.3256 | -321.2370 | -327.7909 | -2.6626 | -2.6829 |
90
+ | 0.5213 | 1.0 | 1900 | 0.4524 | -0.7101 | -2.0953 | 0.7831 | 1.3852 | -321.5471 | -327.5048 | -2.6445 | -2.6674 |
91
+
92
+
93
+ ### Framework versions
94
+
95
+ - Transformers 4.35.0-UNA
96
+ - Pytorch 2.1.0
97
+ - Datasets 2.14.6
98
+ - Tokenizers 0.14.1
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+ }
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