Model save
Browse files- README.md +72 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +556 -0
README.md
ADDED
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- dpo
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: apple/OpenELM-450M
|
9 |
+
model-index:
|
10 |
+
- name: OpenELM-450M_lora
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# OpenELM-450M_lora
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [apple/OpenELM-450M](https://huggingface.co/apple/OpenELM-450M) on the None dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.6940
|
22 |
+
- Rewards/chosen: 0.0062
|
23 |
+
- Rewards/rejected: 0.0064
|
24 |
+
- Rewards/accuracies: 0.4748
|
25 |
+
- Rewards/margins: -0.0002
|
26 |
+
- Logps/rejected: -567.8893
|
27 |
+
- Logps/chosen: -579.9698
|
28 |
+
- Logits/rejected: -11.8584
|
29 |
+
- Logits/chosen: -12.0367
|
30 |
+
|
31 |
+
## Model description
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Intended uses & limitations
|
36 |
+
|
37 |
+
More information needed
|
38 |
+
|
39 |
+
## Training and evaluation data
|
40 |
+
|
41 |
+
More information needed
|
42 |
+
|
43 |
+
## Training procedure
|
44 |
+
|
45 |
+
### Training hyperparameters
|
46 |
+
|
47 |
+
The following hyperparameters were used during training:
|
48 |
+
- learning_rate: 5e-07
|
49 |
+
- train_batch_size: 8
|
50 |
+
- eval_batch_size: 8
|
51 |
+
- seed: 42
|
52 |
+
- gradient_accumulation_steps: 8
|
53 |
+
- total_train_batch_size: 64
|
54 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
55 |
+
- lr_scheduler_type: cosine
|
56 |
+
- lr_scheduler_warmup_ratio: 0.1
|
57 |
+
- num_epochs: 1
|
58 |
+
|
59 |
+
### Training results
|
60 |
+
|
61 |
+
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|
62 |
+
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
|
63 |
+
| 0.6943 | 0.8975 | 300 | 0.6940 | 0.0062 | 0.0064 | 0.4748 | -0.0002 | -567.8893 | -579.9698 | -11.8584 | -12.0367 |
|
64 |
+
|
65 |
+
|
66 |
+
### Framework versions
|
67 |
+
|
68 |
+
- PEFT 0.11.0
|
69 |
+
- Transformers 4.40.2
|
70 |
+
- Pytorch 2.3.0+cu121
|
71 |
+
- Datasets 2.19.1
|
72 |
+
- Tokenizers 0.19.1
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 7670448
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac4dd479051fdc10ffeda881ae3924cd935a5ac91f0d54c722462201c441f21a
|
3 |
size 7670448
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9992520568436799,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.6938572500994106,
|
5 |
+
"train_runtime": 20825.8975,
|
6 |
+
"train_samples": 21390,
|
7 |
+
"train_samples_per_second": 1.027,
|
8 |
+
"train_steps_per_second": 0.016
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.9992520568436799,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.6938572500994106,
|
5 |
+
"train_runtime": 20825.8975,
|
6 |
+
"train_samples": 21390,
|
7 |
+
"train_samples_per_second": 1.027,
|
8 |
+
"train_steps_per_second": 0.016
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,556 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9992520568436799,
|
5 |
+
"eval_steps": 300,
|
6 |
+
"global_step": 334,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0029917726252804786,
|
13 |
+
"grad_norm": 0.515625,
|
14 |
+
"learning_rate": 1.4705882352941176e-08,
|
15 |
+
"logits/chosen": -11.9029541015625,
|
16 |
+
"logits/rejected": -11.867537498474121,
|
17 |
+
"logps/chosen": -446.77239990234375,
|
18 |
+
"logps/rejected": -451.92742919921875,
|
19 |
+
"loss": 0.6931,
|
20 |
+
"rewards/accuracies": 0.0,
|
21 |
+
"rewards/chosen": 0.0,
|
22 |
+
"rewards/margins": 0.0,
|
23 |
+
"rewards/rejected": 0.0,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.029917726252804786,
|
28 |
+
"grad_norm": 2.84375,
|
29 |
+
"learning_rate": 1.4705882352941175e-07,
|
30 |
+
"logits/chosen": -11.970257759094238,
|
31 |
+
"logits/rejected": -11.80525016784668,
|
32 |
+
"logps/chosen": -548.0371704101562,
|
33 |
+
"logps/rejected": -528.268798828125,
|
34 |
+
"loss": 0.693,
|
35 |
+
"rewards/accuracies": 0.4184027910232544,
|
36 |
+
"rewards/chosen": 0.0011305785737931728,
|
37 |
+
"rewards/margins": 0.0008499751565977931,
|
38 |
+
"rewards/rejected": 0.0002806035045068711,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.05983545250560957,
|
43 |
+
"grad_norm": 1.484375,
|
44 |
+
"learning_rate": 2.941176470588235e-07,
|
45 |
+
"logits/chosen": -12.091507911682129,
|
46 |
+
"logits/rejected": -11.931904792785645,
|
47 |
+
"logps/chosen": -605.2603149414062,
|
48 |
+
"logps/rejected": -594.6846923828125,
|
49 |
+
"loss": 0.6946,
|
50 |
+
"rewards/accuracies": 0.4781250059604645,
|
51 |
+
"rewards/chosen": -0.0016426166985183954,
|
52 |
+
"rewards/margins": -0.001760849030688405,
|
53 |
+
"rewards/rejected": 0.00011823121167253703,
|
54 |
+
"step": 20
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.08975317875841436,
|
58 |
+
"grad_norm": 0.8125,
|
59 |
+
"learning_rate": 4.4117647058823526e-07,
|
60 |
+
"logits/chosen": -12.251832962036133,
|
61 |
+
"logits/rejected": -11.93907356262207,
|
62 |
+
"logps/chosen": -627.1741333007812,
|
63 |
+
"logps/rejected": -592.0576782226562,
|
64 |
+
"loss": 0.6927,
|
65 |
+
"rewards/accuracies": 0.4765625,
|
66 |
+
"rewards/chosen": -0.013599636033177376,
|
67 |
+
"rewards/margins": 0.001697429222986102,
|
68 |
+
"rewards/rejected": -0.015297065488994122,
|
69 |
+
"step": 30
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.11967090501121914,
|
73 |
+
"grad_norm": 0.7734375,
|
74 |
+
"learning_rate": 4.995066821070679e-07,
|
75 |
+
"logits/chosen": -12.038887023925781,
|
76 |
+
"logits/rejected": -11.891900062561035,
|
77 |
+
"logps/chosen": -573.0090942382812,
|
78 |
+
"logps/rejected": -555.4964599609375,
|
79 |
+
"loss": 0.6966,
|
80 |
+
"rewards/accuracies": 0.4390625059604645,
|
81 |
+
"rewards/chosen": -0.009484687820076942,
|
82 |
+
"rewards/margins": -0.005814659409224987,
|
83 |
+
"rewards/rejected": -0.0036700288765132427,
|
84 |
+
"step": 40
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.14958863126402394,
|
88 |
+
"grad_norm": 1.1796875,
|
89 |
+
"learning_rate": 4.964990092676262e-07,
|
90 |
+
"logits/chosen": -12.046560287475586,
|
91 |
+
"logits/rejected": -11.745036125183105,
|
92 |
+
"logps/chosen": -487.1591796875,
|
93 |
+
"logps/rejected": -467.3463439941406,
|
94 |
+
"loss": 0.6961,
|
95 |
+
"rewards/accuracies": 0.4625000059604645,
|
96 |
+
"rewards/chosen": -0.014206953346729279,
|
97 |
+
"rewards/margins": -0.0039894962683320045,
|
98 |
+
"rewards/rejected": -0.010217458009719849,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.17950635751682872,
|
103 |
+
"grad_norm": 0.65234375,
|
104 |
+
"learning_rate": 4.907906416994145e-07,
|
105 |
+
"logits/chosen": -11.951323509216309,
|
106 |
+
"logits/rejected": -11.81787109375,
|
107 |
+
"logps/chosen": -524.3377685546875,
|
108 |
+
"logps/rejected": -518.5364990234375,
|
109 |
+
"loss": 0.6951,
|
110 |
+
"rewards/accuracies": 0.4906249940395355,
|
111 |
+
"rewards/chosen": -0.007045179605484009,
|
112 |
+
"rewards/margins": -0.0024539525620639324,
|
113 |
+
"rewards/rejected": -0.004591226577758789,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.2094240837696335,
|
118 |
+
"grad_norm": 0.7109375,
|
119 |
+
"learning_rate": 4.824441214720628e-07,
|
120 |
+
"logits/chosen": -12.155089378356934,
|
121 |
+
"logits/rejected": -11.935697555541992,
|
122 |
+
"logps/chosen": -614.5479736328125,
|
123 |
+
"logps/rejected": -598.7986450195312,
|
124 |
+
"loss": 0.694,
|
125 |
+
"rewards/accuracies": 0.4921875,
|
126 |
+
"rewards/chosen": -0.004119172692298889,
|
127 |
+
"rewards/margins": -0.0007487249677069485,
|
128 |
+
"rewards/rejected": -0.003370448248460889,
|
129 |
+
"step": 70
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.2393418100224383,
|
133 |
+
"grad_norm": 1.125,
|
134 |
+
"learning_rate": 4.7155089480780365e-07,
|
135 |
+
"logits/chosen": -12.310976028442383,
|
136 |
+
"logits/rejected": -11.926130294799805,
|
137 |
+
"logps/chosen": -590.0772705078125,
|
138 |
+
"logps/rejected": -552.1112060546875,
|
139 |
+
"loss": 0.694,
|
140 |
+
"rewards/accuracies": 0.4703125059604645,
|
141 |
+
"rewards/chosen": -0.014592505991458893,
|
142 |
+
"rewards/margins": -0.000543795176781714,
|
143 |
+
"rewards/rejected": -0.014048713259398937,
|
144 |
+
"step": 80
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.26925953627524307,
|
148 |
+
"grad_norm": 1.7890625,
|
149 |
+
"learning_rate": 4.582303101775248e-07,
|
150 |
+
"logits/chosen": -12.02568244934082,
|
151 |
+
"logits/rejected": -11.863547325134277,
|
152 |
+
"logps/chosen": -596.1324462890625,
|
153 |
+
"logps/rejected": -583.9989624023438,
|
154 |
+
"loss": 0.6946,
|
155 |
+
"rewards/accuracies": 0.4625000059604645,
|
156 |
+
"rewards/chosen": -0.00669059157371521,
|
157 |
+
"rewards/margins": -0.0019042941275984049,
|
158 |
+
"rewards/rejected": -0.004786298610270023,
|
159 |
+
"step": 90
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.2991772625280479,
|
163 |
+
"grad_norm": 1.1015625,
|
164 |
+
"learning_rate": 4.426283106939473e-07,
|
165 |
+
"logits/chosen": -12.22739028930664,
|
166 |
+
"logits/rejected": -11.815451622009277,
|
167 |
+
"logps/chosen": -604.3762817382812,
|
168 |
+
"logps/rejected": -574.3903198242188,
|
169 |
+
"loss": 0.6949,
|
170 |
+
"rewards/accuracies": 0.4828124940395355,
|
171 |
+
"rewards/chosen": 0.0030080166179686785,
|
172 |
+
"rewards/margins": -0.0021901517175137997,
|
173 |
+
"rewards/rejected": 0.0051981681026518345,
|
174 |
+
"step": 100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.32909498878085264,
|
178 |
+
"grad_norm": 1.453125,
|
179 |
+
"learning_rate": 4.249158351283413e-07,
|
180 |
+
"logits/chosen": -12.154890060424805,
|
181 |
+
"logits/rejected": -11.859006881713867,
|
182 |
+
"logps/chosen": -524.4495849609375,
|
183 |
+
"logps/rejected": -509.00946044921875,
|
184 |
+
"loss": 0.6954,
|
185 |
+
"rewards/accuracies": 0.48124998807907104,
|
186 |
+
"rewards/chosen": 0.002577757928520441,
|
187 |
+
"rewards/margins": -0.002684831153601408,
|
188 |
+
"rewards/rejected": 0.005262589547783136,
|
189 |
+
"step": 110
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.35901271503365745,
|
193 |
+
"grad_norm": 3.0625,
|
194 |
+
"learning_rate": 4.0528694506957754e-07,
|
195 |
+
"logits/chosen": -12.192368507385254,
|
196 |
+
"logits/rejected": -12.028105735778809,
|
197 |
+
"logps/chosen": -528.8504028320312,
|
198 |
+
"logps/rejected": -517.0180053710938,
|
199 |
+
"loss": 0.693,
|
200 |
+
"rewards/accuracies": 0.5015624761581421,
|
201 |
+
"rewards/chosen": 0.007784114684909582,
|
202 |
+
"rewards/margins": 0.0019344612956047058,
|
203 |
+
"rewards/rejected": 0.005849653389304876,
|
204 |
+
"step": 120
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.3889304412864622,
|
208 |
+
"grad_norm": 1.0546875,
|
209 |
+
"learning_rate": 3.839566987447491e-07,
|
210 |
+
"logits/chosen": -12.14574146270752,
|
211 |
+
"logits/rejected": -12.06743335723877,
|
212 |
+
"logps/chosen": -646.7266845703125,
|
213 |
+
"logps/rejected": -643.1847534179688,
|
214 |
+
"loss": 0.6923,
|
215 |
+
"rewards/accuracies": 0.4906249940395355,
|
216 |
+
"rewards/chosen": -0.00342937046661973,
|
217 |
+
"rewards/margins": 0.0035477778874337673,
|
218 |
+
"rewards/rejected": -0.006977148354053497,
|
219 |
+
"step": 130
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.418848167539267,
|
223 |
+
"grad_norm": 0.7421875,
|
224 |
+
"learning_rate": 3.6115879479623183e-07,
|
225 |
+
"logits/chosen": -11.896639823913574,
|
226 |
+
"logits/rejected": -11.759775161743164,
|
227 |
+
"logps/chosen": -548.5411376953125,
|
228 |
+
"logps/rejected": -533.6222534179688,
|
229 |
+
"loss": 0.6943,
|
230 |
+
"rewards/accuracies": 0.4984374940395355,
|
231 |
+
"rewards/chosen": -0.006624075584113598,
|
232 |
+
"rewards/margins": -0.00133815489243716,
|
233 |
+
"rewards/rejected": -0.005285919643938541,
|
234 |
+
"step": 140
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.4487658937920718,
|
238 |
+
"grad_norm": 0.87109375,
|
239 |
+
"learning_rate": 3.371430118304538e-07,
|
240 |
+
"logits/chosen": -11.987521171569824,
|
241 |
+
"logits/rejected": -11.82154655456543,
|
242 |
+
"logps/chosen": -599.1915283203125,
|
243 |
+
"logps/rejected": -586.5440673828125,
|
244 |
+
"loss": 0.6945,
|
245 |
+
"rewards/accuracies": 0.4593749940395355,
|
246 |
+
"rewards/chosen": -0.0005397430504672229,
|
247 |
+
"rewards/margins": -0.001651047496125102,
|
248 |
+
"rewards/rejected": 0.0011113042710348964,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.4786836200448766,
|
253 |
+
"grad_norm": 2.078125,
|
254 |
+
"learning_rate": 3.121724717912138e-07,
|
255 |
+
"logits/chosen": -12.010518074035645,
|
256 |
+
"logits/rejected": -11.801678657531738,
|
257 |
+
"logps/chosen": -477.989013671875,
|
258 |
+
"logps/rejected": -461.06695556640625,
|
259 |
+
"loss": 0.6923,
|
260 |
+
"rewards/accuracies": 0.5,
|
261 |
+
"rewards/chosen": -0.002107062842696905,
|
262 |
+
"rewards/margins": 0.002797911176458001,
|
263 |
+
"rewards/rejected": -0.00490497425198555,
|
264 |
+
"step": 160
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.5086013462976814,
|
268 |
+
"grad_norm": 1.046875,
|
269 |
+
"learning_rate": 2.865207571406029e-07,
|
270 |
+
"logits/chosen": -12.087748527526855,
|
271 |
+
"logits/rejected": -11.823697090148926,
|
272 |
+
"logps/chosen": -565.2094116210938,
|
273 |
+
"logps/rejected": -535.0115966796875,
|
274 |
+
"loss": 0.6945,
|
275 |
+
"rewards/accuracies": 0.45625001192092896,
|
276 |
+
"rewards/chosen": -0.010714416392147541,
|
277 |
+
"rewards/margins": -0.0014880959643051028,
|
278 |
+
"rewards/rejected": -0.009226320311427116,
|
279 |
+
"step": 170
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.5385190725504861,
|
283 |
+
"grad_norm": 0.69140625,
|
284 |
+
"learning_rate": 2.6046891343229986e-07,
|
285 |
+
"logits/chosen": -12.05897331237793,
|
286 |
+
"logits/rejected": -11.826770782470703,
|
287 |
+
"logps/chosen": -639.4141845703125,
|
288 |
+
"logps/rejected": -625.544189453125,
|
289 |
+
"loss": 0.694,
|
290 |
+
"rewards/accuracies": 0.4703125059604645,
|
291 |
+
"rewards/chosen": -0.008839543908834457,
|
292 |
+
"rewards/margins": -0.0007707075565122068,
|
293 |
+
"rewards/rejected": -0.008068837225437164,
|
294 |
+
"step": 180
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.5684367988032909,
|
298 |
+
"grad_norm": 2.15625,
|
299 |
+
"learning_rate": 2.3430237011767164e-07,
|
300 |
+
"logits/chosen": -12.140950202941895,
|
301 |
+
"logits/rejected": -11.830968856811523,
|
302 |
+
"logps/chosen": -564.7281494140625,
|
303 |
+
"logps/rejected": -540.7762451171875,
|
304 |
+
"loss": 0.6931,
|
305 |
+
"rewards/accuracies": 0.484375,
|
306 |
+
"rewards/chosen": -0.00785023346543312,
|
307 |
+
"rewards/margins": 0.0012117780279368162,
|
308 |
+
"rewards/rejected": -0.00906201172620058,
|
309 |
+
"step": 190
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.5983545250560958,
|
313 |
+
"grad_norm": 0.64453125,
|
314 |
+
"learning_rate": 2.0830781332097445e-07,
|
315 |
+
"logits/chosen": -12.064250946044922,
|
316 |
+
"logits/rejected": -11.847702026367188,
|
317 |
+
"logps/chosen": -601.1182861328125,
|
318 |
+
"logps/rejected": -584.1577758789062,
|
319 |
+
"loss": 0.6932,
|
320 |
+
"rewards/accuracies": 0.46562498807907104,
|
321 |
+
"rewards/chosen": -0.0038043882232159376,
|
322 |
+
"rewards/margins": 0.0006765492144040763,
|
323 |
+
"rewards/rejected": -0.0044809365645051,
|
324 |
+
"step": 200
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.6282722513089005,
|
328 |
+
"grad_norm": 0.6796875,
|
329 |
+
"learning_rate": 1.8277004484618357e-07,
|
330 |
+
"logits/chosen": -12.159658432006836,
|
331 |
+
"logits/rejected": -11.93867015838623,
|
332 |
+
"logps/chosen": -570.8473510742188,
|
333 |
+
"logps/rejected": -558.4066162109375,
|
334 |
+
"loss": 0.6956,
|
335 |
+
"rewards/accuracies": 0.46562498807907104,
|
336 |
+
"rewards/chosen": -0.01011698879301548,
|
337 |
+
"rewards/margins": -0.003837681608274579,
|
338 |
+
"rewards/rejected": -0.006279306020587683,
|
339 |
+
"step": 210
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.6581899775617053,
|
343 |
+
"grad_norm": 0.90625,
|
344 |
+
"learning_rate": 1.579688618288305e-07,
|
345 |
+
"logits/chosen": -12.136404991149902,
|
346 |
+
"logits/rejected": -11.933469772338867,
|
347 |
+
"logps/chosen": -653.62841796875,
|
348 |
+
"logps/rejected": -629.8015747070312,
|
349 |
+
"loss": 0.6917,
|
350 |
+
"rewards/accuracies": 0.5062500238418579,
|
351 |
+
"rewards/chosen": 0.0027369544841349125,
|
352 |
+
"rewards/margins": 0.003812599228695035,
|
353 |
+
"rewards/rejected": -0.0010756452102214098,
|
354 |
+
"step": 220
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.6881077038145101,
|
358 |
+
"grad_norm": 1.046875,
|
359 |
+
"learning_rate": 1.341759912200346e-07,
|
360 |
+
"logits/chosen": -12.061933517456055,
|
361 |
+
"logits/rejected": -11.955540657043457,
|
362 |
+
"logps/chosen": -541.6209716796875,
|
363 |
+
"logps/rejected": -530.1668701171875,
|
364 |
+
"loss": 0.69,
|
365 |
+
"rewards/accuracies": 0.526562511920929,
|
366 |
+
"rewards/chosen": 0.006943908985704184,
|
367 |
+
"rewards/margins": 0.007641922682523727,
|
368 |
+
"rewards/rejected": -0.0006980125908739865,
|
369 |
+
"step": 230
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.7180254300673149,
|
373 |
+
"grad_norm": 2.078125,
|
374 |
+
"learning_rate": 1.11652112689164e-07,
|
375 |
+
"logits/chosen": -11.996115684509277,
|
376 |
+
"logits/rejected": -11.906721115112305,
|
377 |
+
"logps/chosen": -514.420166015625,
|
378 |
+
"logps/rejected": -510.46307373046875,
|
379 |
+
"loss": 0.6932,
|
380 |
+
"rewards/accuracies": 0.5062500238418579,
|
381 |
+
"rewards/chosen": 0.004082207567989826,
|
382 |
+
"rewards/margins": 0.0010683867149055004,
|
383 |
+
"rewards/rejected": 0.003013820853084326,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.7479431563201197,
|
388 |
+
"grad_norm": 0.60546875,
|
389 |
+
"learning_rate": 9.064400256282755e-08,
|
390 |
+
"logits/chosen": -11.868894577026367,
|
391 |
+
"logits/rejected": -11.739983558654785,
|
392 |
+
"logps/chosen": -636.687744140625,
|
393 |
+
"logps/rejected": -622.6748657226562,
|
394 |
+
"loss": 0.6937,
|
395 |
+
"rewards/accuracies": 0.4984374940395355,
|
396 |
+
"rewards/chosen": 0.007722427137196064,
|
397 |
+
"rewards/margins": -8.60728334828309e-07,
|
398 |
+
"rewards/rejected": 0.007723286747932434,
|
399 |
+
"step": 250
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.7778608825729244,
|
403 |
+
"grad_norm": 0.625,
|
404 |
+
"learning_rate": 7.138183009179921e-08,
|
405 |
+
"logits/chosen": -11.95314884185791,
|
406 |
+
"logits/rejected": -11.800286293029785,
|
407 |
+
"logps/chosen": -516.5999755859375,
|
408 |
+
"logps/rejected": -502.53424072265625,
|
409 |
+
"loss": 0.6941,
|
410 |
+
"rewards/accuracies": 0.46875,
|
411 |
+
"rewards/chosen": 0.003324865596368909,
|
412 |
+
"rewards/margins": -0.0007609135354869068,
|
413 |
+
"rewards/rejected": 0.004085779655724764,
|
414 |
+
"step": 260
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.8077786088257293,
|
418 |
+
"grad_norm": 2.03125,
|
419 |
+
"learning_rate": 5.4076635668540065e-08,
|
420 |
+
"logits/chosen": -11.870991706848145,
|
421 |
+
"logits/rejected": -11.772178649902344,
|
422 |
+
"logps/chosen": -537.8231201171875,
|
423 |
+
"logps/rejected": -536.79296875,
|
424 |
+
"loss": 0.6933,
|
425 |
+
"rewards/accuracies": 0.48124998807907104,
|
426 |
+
"rewards/chosen": -0.0003947736695408821,
|
427 |
+
"rewards/margins": 0.0007606123690493405,
|
428 |
+
"rewards/rejected": -0.0011553869117051363,
|
429 |
+
"step": 270
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.837696335078534,
|
433 |
+
"grad_norm": 0.59765625,
|
434 |
+
"learning_rate": 3.8918018624496286e-08,
|
435 |
+
"logits/chosen": -12.036161422729492,
|
436 |
+
"logits/rejected": -11.860921859741211,
|
437 |
+
"logps/chosen": -554.2711791992188,
|
438 |
+
"logps/rejected": -541.3438720703125,
|
439 |
+
"loss": 0.6953,
|
440 |
+
"rewards/accuracies": 0.4781250059604645,
|
441 |
+
"rewards/chosen": 0.00031470804242417216,
|
442 |
+
"rewards/margins": -0.0031545311212539673,
|
443 |
+
"rewards/rejected": 0.0034692403860390186,
|
444 |
+
"step": 280
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.8676140613313388,
|
448 |
+
"grad_norm": 2.578125,
|
449 |
+
"learning_rate": 2.6072059940146772e-08,
|
450 |
+
"logits/chosen": -12.018091201782227,
|
451 |
+
"logits/rejected": -11.894245147705078,
|
452 |
+
"logps/chosen": -569.8294677734375,
|
453 |
+
"logps/rejected": -563.2034912109375,
|
454 |
+
"loss": 0.6936,
|
455 |
+
"rewards/accuracies": 0.4921875,
|
456 |
+
"rewards/chosen": 0.004260566085577011,
|
457 |
+
"rewards/margins": 0.0009015941177494824,
|
458 |
+
"rewards/rejected": 0.003358972491696477,
|
459 |
+
"step": 290
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.8975317875841436,
|
463 |
+
"grad_norm": 1.015625,
|
464 |
+
"learning_rate": 1.5679502627027136e-08,
|
465 |
+
"logits/chosen": -12.114303588867188,
|
466 |
+
"logits/rejected": -11.98996639251709,
|
467 |
+
"logps/chosen": -567.474853515625,
|
468 |
+
"logps/rejected": -552.4931640625,
|
469 |
+
"loss": 0.6943,
|
470 |
+
"rewards/accuracies": 0.46406251192092896,
|
471 |
+
"rewards/chosen": 0.0020927421282976866,
|
472 |
+
"rewards/margins": -0.0002106330794049427,
|
473 |
+
"rewards/rejected": 0.0023033744655549526,
|
474 |
+
"step": 300
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.8975317875841436,
|
478 |
+
"eval_logits/chosen": -12.036696434020996,
|
479 |
+
"eval_logits/rejected": -11.858353614807129,
|
480 |
+
"eval_logps/chosen": -579.9698486328125,
|
481 |
+
"eval_logps/rejected": -567.8892822265625,
|
482 |
+
"eval_loss": 0.6939929127693176,
|
483 |
+
"eval_rewards/accuracies": 0.4747757911682129,
|
484 |
+
"eval_rewards/chosen": 0.0061609940603375435,
|
485 |
+
"eval_rewards/margins": -0.00024100362497847527,
|
486 |
+
"eval_rewards/rejected": 0.006401997059583664,
|
487 |
+
"eval_runtime": 2311.0773,
|
488 |
+
"eval_samples_per_second": 2.314,
|
489 |
+
"eval_steps_per_second": 0.289,
|
490 |
+
"step": 300
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 0.9274495138369484,
|
494 |
+
"grad_norm": 0.7890625,
|
495 |
+
"learning_rate": 7.85420971784223e-09,
|
496 |
+
"logits/chosen": -12.027294158935547,
|
497 |
+
"logits/rejected": -11.775075912475586,
|
498 |
+
"logps/chosen": -637.2244262695312,
|
499 |
+
"logps/rejected": -614.4982299804688,
|
500 |
+
"loss": 0.6929,
|
501 |
+
"rewards/accuracies": 0.49687498807907104,
|
502 |
+
"rewards/chosen": 0.008133328519761562,
|
503 |
+
"rewards/margins": 0.0024830640759319067,
|
504 |
+
"rewards/rejected": 0.005650263279676437,
|
505 |
+
"step": 310
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.9573672400897532,
|
509 |
+
"grad_norm": 0.99609375,
|
510 |
+
"learning_rate": 2.6819167592529168e-09,
|
511 |
+
"logits/chosen": -11.920928955078125,
|
512 |
+
"logits/rejected": -11.692464828491211,
|
513 |
+
"logps/chosen": -622.5579223632812,
|
514 |
+
"logps/rejected": -609.9359130859375,
|
515 |
+
"loss": 0.693,
|
516 |
+
"rewards/accuracies": 0.48906248807907104,
|
517 |
+
"rewards/chosen": 0.012452816590666771,
|
518 |
+
"rewards/margins": 0.0013520055217668414,
|
519 |
+
"rewards/rejected": 0.011100810021162033,
|
520 |
+
"step": 320
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.9872849663425579,
|
524 |
+
"grad_norm": 1.734375,
|
525 |
+
"learning_rate": 2.1929247528540418e-10,
|
526 |
+
"logits/chosen": -12.089780807495117,
|
527 |
+
"logits/rejected": -11.94688606262207,
|
528 |
+
"logps/chosen": -568.0908203125,
|
529 |
+
"logps/rejected": -560.9391479492188,
|
530 |
+
"loss": 0.695,
|
531 |
+
"rewards/accuracies": 0.512499988079071,
|
532 |
+
"rewards/chosen": 0.013248354196548462,
|
533 |
+
"rewards/margins": -0.0018901375588029623,
|
534 |
+
"rewards/rejected": 0.015138491988182068,
|
535 |
+
"step": 330
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.9992520568436799,
|
539 |
+
"step": 334,
|
540 |
+
"total_flos": 0.0,
|
541 |
+
"train_loss": 0.6938572500994106,
|
542 |
+
"train_runtime": 20825.8975,
|
543 |
+
"train_samples_per_second": 1.027,
|
544 |
+
"train_steps_per_second": 0.016
|
545 |
+
}
|
546 |
+
],
|
547 |
+
"logging_steps": 10,
|
548 |
+
"max_steps": 334,
|
549 |
+
"num_input_tokens_seen": 0,
|
550 |
+
"num_train_epochs": 1,
|
551 |
+
"save_steps": 300,
|
552 |
+
"total_flos": 0.0,
|
553 |
+
"train_batch_size": 8,
|
554 |
+
"trial_name": null,
|
555 |
+
"trial_params": null
|
556 |
+
}
|