Hugging Face's logo

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

Text Generation
Transformers
TensorBoard
Safetensors
openelm
trl
dpo
alignment-handbook
Generated from Trainer
conversational
custom_code
Model card Files Metrics Community
CharlesLi commited on
Commit
89fe5c3
•
1 Parent(s): 518b852

Model save

Browse files
Files changed (9) hide show
  1. README.md +37 -37
  2. all_results.json +14 -14
  3. eval_results.json +11 -11
  4. model.safetensors +1 -1
  5. runs/Sep23_09-29-20_xe8545-a100-19/events.out.tfevents.1727090398.xe8545-a100-19.125277.1 +3 -0
  6. runs/Sep23_17-21-42_xe8545-a100-17/events.out.tfevents.1727106162.xe8545-a100-17.585970.0 +3 -0
  7. train_results.json +3 -3
  8. trainer_state.json +0 -0
  9. training_args.bin +1 -1
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: 1.0609
21
- - Rewards/chosen: -3.7969
22
- - Rewards/rejected: -4.0
23
- - Rewards/accuracies: 0.5
24
- - Rewards/margins: 0.2148
25
- - Logps/rejected: -692.0
26
- - Logps/chosen: -700.0
27
- - Logits/rejected: -12.9375
28
- - Logits/chosen: -13.25
29
 
30
  ## Model description
31
 
@@ -62,34 +62,34 @@ 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
- | 0.187 | 0.1047 | 100 | 0.6760 | -0.4492 | -0.5586 | 0.5469 | 0.1084 | -344.0 | -364.0 | -14.5625 | -14.6875 |
66
- | 0.1162 | 0.2094 | 200 | 0.6879 | -0.7734 | -0.875 | 0.5410 | 0.1016 | -376.0 | -396.0 | -11.6875 | -12.0625 |
67
- | 0.1436 | 0.3141 | 300 | 0.7670 | -1.6562 | -1.7969 | 0.4941 | 0.1377 | -468.0 | -484.0 | -13.875 | -14.0625 |
68
- | 0.1461 | 0.4188 | 400 | 0.7442 | -1.0469 | -1.0625 | 0.5039 | 0.0201 | -394.0 | -422.0 | -16.5 | -16.625 |
69
- | 0.1352 | 0.5236 | 500 | 0.8131 | -1.6406 | -1.7031 | 0.5020 | 0.0630 | -460.0 | -482.0 | -15.5625 | -15.6875 |
70
- | 0.1507 | 0.6283 | 600 | 0.8542 | -1.625 | -1.6328 | 0.4766 | 0.0096 | -452.0 | -482.0 | -17.25 | -17.375 |
71
- | 0.1278 | 0.7330 | 700 | 0.8274 | -1.7891 | -1.9453 | 0.4980 | 0.1592 | -484.0 | -496.0 | -14.8125 | -15.0 |
72
- | 0.1303 | 0.8377 | 800 | 0.8349 | -1.7734 | -1.7969 | 0.5195 | 0.0272 | -468.0 | -496.0 | -16.5 | -16.5 |
73
- | 0.1614 | 0.9424 | 900 | 0.8078 | -2.2969 | -2.5 | 0.5332 | 0.1992 | -540.0 | -548.0 | -16.375 | -16.375 |
74
- | 0.0199 | 1.0471 | 1000 | 0.8233 | -2.2656 | -2.3906 | 0.4863 | 0.1279 | -528.0 | -544.0 | -15.4375 | -15.875 |
75
- | 0.0348 | 1.1518 | 1100 | 0.8452 | -2.0469 | -2.1562 | 0.5039 | 0.1187 | -504.0 | -524.0 | -17.0 | -17.125 |
76
- | 0.0186 | 1.2565 | 1200 | 0.8788 | -2.9219 | -3.0312 | 0.5098 | 0.1074 | -592.0 | -612.0 | -14.75 | -15.0625 |
77
- | 0.0277 | 1.3613 | 1300 | 0.8304 | -2.7969 | -2.8906 | 0.5137 | 0.0928 | -576.0 | -600.0 | -14.25 | -14.5 |
78
- | 0.0212 | 1.4660 | 1400 | 0.8990 | -2.7969 | -2.9062 | 0.5 | 0.1099 | -580.0 | -600.0 | -14.25 | -14.4375 |
79
- | 0.0333 | 1.5707 | 1500 | 0.9111 | -3.2031 | -3.2969 | 0.5215 | 0.0981 | -620.0 | -640.0 | -12.1875 | -12.625 |
80
- | 0.0163 | 1.6754 | 1600 | 0.9215 | -3.2188 | -3.3281 | 0.4941 | 0.1104 | -620.0 | -640.0 | -11.0625 | -11.5 |
81
- | 0.0309 | 1.7801 | 1700 | 0.9203 | -2.6719 | -2.7344 | 0.5059 | 0.0635 | -560.0 | -584.0 | -13.5625 | -13.8125 |
82
- | 0.0228 | 1.8848 | 1800 | 0.9032 | -2.8594 | -2.9531 | 0.4941 | 0.0972 | -584.0 | -604.0 | -13.3125 | -13.5625 |
83
- | 0.0116 | 1.9895 | 1900 | 0.9123 | -3.0156 | -3.125 | 0.5 | 0.1187 | -600.0 | -620.0 | -13.375 | -13.625 |
84
- | 0.0011 | 2.0942 | 2000 | 0.9715 | -3.2656 | -3.4531 | 0.4980 | 0.1865 | -636.0 | -644.0 | -13.0625 | -13.3125 |
85
- | 0.0019 | 2.1990 | 2100 | 1.0378 | -3.6719 | -3.9062 | 0.5098 | 0.2393 | -680.0 | -684.0 | -12.5 | -12.8125 |
86
- | 0.0011 | 2.3037 | 2200 | 1.0456 | -3.7188 | -3.9375 | 0.5020 | 0.2227 | -684.0 | -692.0 | -12.8125 | -13.125 |
87
- | 0.0009 | 2.4084 | 2300 | 1.0567 | -3.75 | -3.9688 | 0.5020 | 0.2217 | -684.0 | -692.0 | -12.9375 | -13.25 |
88
- | 0.0022 | 2.5131 | 2400 | 1.0450 | -3.7188 | -3.9062 | 0.4961 | 0.1953 | -680.0 | -692.0 | -13.0 | -13.3125 |
89
- | 0.0013 | 2.6178 | 2500 | 1.0499 | -3.7656 | -3.9688 | 0.5020 | 0.2080 | -684.0 | -696.0 | -12.9375 | -13.25 |
90
- | 0.0006 | 2.7225 | 2600 | 1.0572 | -3.7812 | -3.9844 | 0.4961 | 0.2100 | -688.0 | -696.0 | -12.9375 | -13.25 |
91
- | 0.0007 | 2.8272 | 2700 | 1.0600 | -3.7969 | -4.0 | 0.5020 | 0.2168 | -692.0 | -700.0 | -12.9375 | -13.25 |
92
- | 0.0012 | 2.9319 | 2800 | 1.0609 | -3.7969 | -4.0 | 0.5 | 0.2148 | -692.0 | -700.0 | -12.9375 | -13.25 |
93
 
94
 
95
  ### Framework versions
 
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
 
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
all_results.json CHANGED
@@ -1,22 +1,22 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_logits/chosen": -13.625,
4
- "eval_logits/rejected": -13.375,
5
- "eval_logps/chosen": -660.0,
6
- "eval_logps/rejected": -652.0,
7
- "eval_loss": 1.0084375143051147,
8
- "eval_rewards/accuracies": 0.505859375,
9
- "eval_rewards/chosen": -3.40625,
10
- "eval_rewards/margins": 0.2373046875,
11
- "eval_rewards/rejected": -3.640625,
12
- "eval_runtime": 46.5887,
13
  "eval_samples": 2000,
14
- "eval_samples_per_second": 42.929,
15
  "eval_steps_per_second": 0.687,
16
  "total_flos": 0.0,
17
- "train_loss": 0.06693936966889477,
18
- "train_runtime": 12411.6425,
19
  "train_samples": 61118,
20
- "train_samples_per_second": 14.773,
21
  "train_steps_per_second": 0.231
22
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_logits/chosen": -13.25,
4
+ "eval_logits/rejected": -12.9375,
5
+ "eval_logps/chosen": -700.0,
6
+ "eval_logps/rejected": -692.0,
7
+ "eval_loss": 1.0602344274520874,
8
+ "eval_rewards/accuracies": 0.5,
9
+ "eval_rewards/chosen": -3.796875,
10
+ "eval_rewards/margins": 0.21484375,
11
+ "eval_rewards/rejected": -4.0,
12
+ "eval_runtime": 46.548,
13
  "eval_samples": 2000,
14
+ "eval_samples_per_second": 42.966,
15
  "eval_steps_per_second": 0.687,
16
  "total_flos": 0.0,
17
+ "train_loss": 0.06547752297897848,
18
+ "train_runtime": 12417.9968,
19
  "train_samples": 61118,
20
+ "train_samples_per_second": 14.765,
21
  "train_steps_per_second": 0.231
22
  }
eval_results.json CHANGED
@@ -1,16 +1,16 @@
1
  {
2
  "epoch": 3.0,
3
- "eval_logits/chosen": -13.625,
4
- "eval_logits/rejected": -13.375,
5
- "eval_logps/chosen": -660.0,
6
- "eval_logps/rejected": -652.0,
7
- "eval_loss": 1.0084375143051147,
8
- "eval_rewards/accuracies": 0.505859375,
9
- "eval_rewards/chosen": -3.40625,
10
- "eval_rewards/margins": 0.2373046875,
11
- "eval_rewards/rejected": -3.640625,
12
- "eval_runtime": 46.5887,
13
  "eval_samples": 2000,
14
- "eval_samples_per_second": 42.929,
15
  "eval_steps_per_second": 0.687
16
  }
 
1
  {
2
  "epoch": 3.0,
3
+ "eval_logits/chosen": -13.25,
4
+ "eval_logits/rejected": -12.9375,
5
+ "eval_logps/chosen": -700.0,
6
+ "eval_logps/rejected": -692.0,
7
+ "eval_loss": 1.0602344274520874,
8
+ "eval_rewards/accuracies": 0.5,
9
+ "eval_rewards/chosen": -3.796875,
10
+ "eval_rewards/margins": 0.21484375,
11
+ "eval_rewards/rejected": -4.0,
12
+ "eval_runtime": 46.548,
13
  "eval_samples": 2000,
14
+ "eval_samples_per_second": 42.966,
15
  "eval_steps_per_second": 0.687
16
  }
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f472dc235cbb99fe76b154b2b864d83175abc92d57d69563a5aa4f5e7bea6214
3
  size 2159808696
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d3eaba15cc48dc1d62b21e2d444d52e28f24c3fa9d40d0255f472f13f651343
3
  size 2159808696
runs/Sep23_09-29-20_xe8545-a100-19/events.out.tfevents.1727090398.xe8545-a100-19.125277.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ef4727f57620bdfee780c15fa14a17322180f2f52142b6a6c5db41646003d39
3
+ size 828
runs/Sep23_17-21-42_xe8545-a100-17/events.out.tfevents.1727106162.xe8545-a100-17.585970.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f137726f3dfc4c0f80df6a3dfe073da30bc4b8a13df9c1265bc84c17619e642e
3
+ size 225670
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 0.0,
4
- "train_loss": 0.06693936966889477,
5
- "train_runtime": 12411.6425,
6
  "train_samples": 61118,
7
- "train_samples_per_second": 14.773,
8
  "train_steps_per_second": 0.231
9
  }
 
1
  {
2
  "epoch": 3.0,
3
  "total_flos": 0.0,
4
+ "train_loss": 0.06547752297897848,
5
+ "train_runtime": 12417.9968,
6
  "train_samples": 61118,
7
+ "train_samples_per_second": 14.765,
8
  "train_steps_per_second": 0.231
9
  }
trainer_state.json CHANGED
The diff for this file is too large to render. See raw diff
 
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:156761cf315d6ce3558f8972c65a5b48c487072ae380e7d648fbe34fd22bd126
3
  size 7608
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:102993f83a9645e58ccc9332d0ce97d93fd1e2d8e68531d331959f6c91d2625e
3
  size 7608