Hugging Face's logo

thorirhrafn
/
llama_DPO_model_e2

PEFT
TensorBoard
Safetensors
trl
dpo
Generated from Trainer
Model card Files Metrics Community
thorirhrafn commited on
Commit
10094a9
•
1 Parent(s): 94e9682

End of training

Browse files
Files changed (1) hide show
  1. README.md +29 -29
README.md CHANGED
@@ -18,15 +18,15 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 0.0572
22
- - Rewards/chosen: 0.4916
23
- - Rewards/rejected: -2.5677
24
  - Rewards/accuracies: 1.0
25
- - Rewards/margins: 3.0592
26
- - Logps/rejected: -210.4865
27
- - Logps/chosen: -155.7183
28
- - Logits/rejected: -1.0527
29
- - Logits/chosen: -0.8611
30
 
31
  ## Model description
32
 
@@ -45,7 +45,7 @@ More information needed
45
  ### Training hyperparameters
46
 
47
  The following hyperparameters were used during training:
48
- - learning_rate: 1e-06
49
  - train_batch_size: 1
50
  - eval_batch_size: 1
51
  - seed: 42
@@ -59,26 +59,26 @@ The following hyperparameters were used during training:
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
62
- | 0.6588 | 0.1 | 25 | 0.6197 | 0.0430 | -0.1117 | 0.9633 | 0.1547 | -185.9265 | -160.2034 | -1.0522 | -0.8546 |
63
- | 0.5198 | 0.2 | 50 | 0.4923 | 0.1198 | -0.3424 | 0.9933 | 0.4622 | -188.2335 | -159.4357 | -1.0525 | -0.8554 |
64
- | 0.422 | 0.3 | 75 | 0.3707 | 0.2016 | -0.6277 | 1.0 | 0.8293 | -191.0862 | -158.6175 | -1.0532 | -0.8571 |
65
- | 0.3133 | 0.4 | 100 | 0.2775 | 0.2622 | -0.9287 | 1.0 | 1.1908 | -194.0961 | -158.0122 | -1.0529 | -0.8575 |
66
- | 0.2536 | 0.5 | 125 | 0.2077 | 0.3244 | -1.2160 | 1.0 | 1.5403 | -196.9694 | -157.3904 | -1.0527 | -0.8608 |
67
- | 0.181 | 0.6 | 150 | 0.1559 | 0.3746 | -1.5115 | 1.0 | 1.8860 | -199.9242 | -156.8883 | -1.0534 | -0.8595 |
68
- | 0.1457 | 0.7 | 175 | 0.1203 | 0.4136 | -1.7795 | 1.0 | 2.1931 | -202.6049 | -156.4983 | -1.0534 | -0.8620 |
69
- | 0.1072 | 0.79 | 200 | 0.0950 | 0.4439 | -2.0245 | 1.0 | 2.4684 | -205.0550 | -156.1949 | -1.0532 | -0.8613 |
70
- | 0.0921 | 0.89 | 225 | 0.0792 | 0.4625 | -2.2196 | 1.0 | 2.6821 | -207.0056 | -156.0085 | -1.0535 | -0.8604 |
71
- | 0.0732 | 0.99 | 250 | 0.0694 | 0.4721 | -2.3665 | 1.0 | 2.8387 | -208.4748 | -155.9124 | -1.0530 | -0.8609 |
72
- | 0.0703 | 1.09 | 275 | 0.0636 | 0.4762 | -2.4589 | 1.0 | 2.9351 | -209.3987 | -155.8720 | -1.0527 | -0.8600 |
73
- | 0.0554 | 1.19 | 300 | 0.0606 | 0.4841 | -2.5053 | 1.0 | 2.9894 | -209.8628 | -155.7928 | -1.0528 | -0.8614 |
74
- | 0.0532 | 1.29 | 325 | 0.0592 | 0.4869 | -2.5331 | 1.0 | 3.0200 | -210.1407 | -155.7649 | -1.0527 | -0.8606 |
75
- | 0.061 | 1.39 | 350 | 0.0580 | 0.4912 | -2.5550 | 1.0 | 3.0462 | -210.3595 | -155.7218 | -1.0525 | -0.8611 |
76
- | 0.0612 | 1.49 | 375 | 0.0573 | 0.4930 | -2.5633 | 1.0 | 3.0563 | -210.4424 | -155.7034 | -1.0527 | -0.8613 |
77
- | 0.0539 | 1.59 | 400 | 0.0576 | 0.4921 | -2.5602 | 1.0 | 3.0523 | -210.4118 | -155.7133 | -1.0529 | -0.8596 |
78
- | 0.0517 | 1.69 | 425 | 0.0570 | 0.4917 | -2.5691 | 1.0 | 3.0608 | -210.5005 | -155.7172 | -1.0529 | -0.8602 |
79
- | 0.0627 | 1.79 | 450 | 0.0570 | 0.4938 | -2.5669 | 1.0 | 3.0607 | -210.4783 | -155.6961 | -1.0532 | -0.8608 |
80
- | 0.0575 | 1.89 | 475 | 0.0574 | 0.4911 | -2.5664 | 1.0 | 3.0574 | -210.4731 | -155.7233 | -1.0528 | -0.8612 |
81
- | 0.0578 | 1.99 | 500 | 0.0572 | 0.4916 | -2.5677 | 1.0 | 3.0592 | -210.4865 | -155.7183 | -1.0527 | -0.8611 |
82
 
83
 
84
  ### Framework versions
 
18
 
19
  This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.0937
22
+ - Rewards/chosen: 0.4389
23
+ - Rewards/rejected: -2.0384
24
  - Rewards/accuracies: 1.0
25
+ - Rewards/margins: 2.4774
26
+ - Logps/rejected: -205.1940
27
+ - Logps/chosen: -156.2447
28
+ - Logits/rejected: -1.0509
29
+ - Logits/chosen: -0.8587
30
 
31
  ## Model description
32
 
 
45
  ### Training hyperparameters
46
 
47
  The following hyperparameters were used during training:
48
+ - learning_rate: 8e-07
49
  - train_batch_size: 1
50
  - eval_batch_size: 1
51
  - seed: 42
 
59
 
60
  | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
61
  |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
62
+ | 0.673 | 0.1 | 25 | 0.6445 | 0.0273 | -0.0740 | 0.9000 | 0.1013 | -185.5491 | -160.3607 | -1.0521 | -0.8545 |
63
+ | 0.5737 | 0.2 | 50 | 0.5485 | 0.0856 | -0.2335 | 0.9933 | 0.3190 | -187.1442 | -159.7781 | -1.0526 | -0.8551 |
64
+ | 0.4843 | 0.3 | 75 | 0.4496 | 0.1470 | -0.4343 | 1.0 | 0.5814 | -189.1528 | -159.1637 | -1.0527 | -0.8571 |
65
+ | 0.4006 | 0.4 | 100 | 0.3655 | 0.2043 | -0.6419 | 1.0 | 0.8462 | -191.2286 | -158.5909 | -1.0521 | -0.8556 |
66
+ | 0.3417 | 0.5 | 125 | 0.2945 | 0.2551 | -0.8630 | 1.0 | 1.1180 | -193.4393 | -158.0833 | -1.0522 | -0.8562 |
67
+ | 0.2601 | 0.6 | 150 | 0.2353 | 0.3032 | -1.0903 | 1.0 | 1.3935 | -195.7128 | -157.6020 | -1.0520 | -0.8597 |
68
+ | 0.2197 | 0.7 | 175 | 0.1891 | 0.3442 | -1.3124 | 1.0 | 1.6565 | -197.9333 | -157.1923 | -1.0522 | -0.8579 |
69
+ | 0.1675 | 0.79 | 200 | 0.1532 | 0.3815 | -1.5253 | 1.0 | 1.9067 | -200.0621 | -156.8192 | -1.0526 | -0.8582 |
70
+ | 0.1417 | 0.89 | 225 | 0.1289 | 0.4011 | -1.7082 | 1.0 | 2.1094 | -201.8920 | -156.6225 | -1.0525 | -0.8585 |
71
+ | 0.1203 | 0.99 | 250 | 0.1117 | 0.4214 | -1.8534 | 1.0 | 2.2748 | -203.3437 | -156.4196 | -1.0517 | -0.8603 |
72
+ | 0.1156 | 1.09 | 275 | 0.1034 | 0.4296 | -1.9336 | 1.0 | 2.3633 | -204.1459 | -156.3377 | -1.0517 | -0.8590 |
73
+ | 0.0942 | 1.19 | 300 | 0.0990 | 0.4310 | -1.9823 | 1.0 | 2.4133 | -204.6330 | -156.3240 | -1.0514 | -0.8577 |
74
+ | 0.0903 | 1.29 | 325 | 0.0957 | 0.4380 | -2.0137 | 1.0 | 2.4517 | -204.9467 | -156.2539 | -1.0511 | -0.8593 |
75
+ | 0.1023 | 1.39 | 350 | 0.0946 | 0.4384 | -2.0296 | 1.0 | 2.4680 | -205.1059 | -156.2503 | -1.0519 | -0.8587 |
76
+ | 0.0984 | 1.49 | 375 | 0.0945 | 0.4352 | -2.0350 | 1.0 | 2.4702 | -205.1597 | -156.2819 | -1.0510 | -0.8580 |
77
+ | 0.0899 | 1.59 | 400 | 0.0939 | 0.4360 | -2.0393 | 1.0 | 2.4752 | -205.2024 | -156.2742 | -1.0513 | -0.8594 |
78
+ | 0.0883 | 1.69 | 425 | 0.0939 | 0.4374 | -2.0378 | 1.0 | 2.4752 | -205.1877 | -156.2598 | -1.0514 | -0.8590 |
79
+ | 0.1011 | 1.79 | 450 | 0.0939 | 0.4368 | -2.0412 | 1.0 | 2.4781 | -205.2217 | -156.2654 | -1.0513 | -0.8583 |
80
+ | 0.0962 | 1.89 | 475 | 0.0935 | 0.4403 | -2.0395 | 1.0 | 2.4798 | -205.2041 | -156.2308 | -1.0510 | -0.8574 |
81
+ | 0.0971 | 1.99 | 500 | 0.0937 | 0.4389 | -2.0384 | 1.0 | 2.4774 | -205.1940 | -156.2447 | -1.0509 | -0.8587 |
82
 
83
 
84
  ### Framework versions