Qin Liu
commited on
Commit
•
5259054
1
Parent(s):
b699df4
Model save
Browse files- README.md +62 -0
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +987 -0
README.md
ADDED
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: llama3
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- dpo
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: Jackie999/llama3-sudo-5epochs-tofu_full_sft
|
9 |
+
model-index:
|
10 |
+
- name: llama3-sudo-dpo-5epochs-forget10mix-1sft-2lora
|
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 |
+
# llama3-sudo-dpo-5epochs-forget10mix-1sft-2lora
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [Jackie999/llama3-sudo-5epochs-tofu_full_sft](https://huggingface.co/Jackie999/llama3-sudo-5epochs-tofu_full_sft) on an unknown dataset.
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 5e-06
|
39 |
+
- train_batch_size: 4
|
40 |
+
- eval_batch_size: 8
|
41 |
+
- seed: 42
|
42 |
+
- distributed_type: multi-GPU
|
43 |
+
- num_devices: 4
|
44 |
+
- gradient_accumulation_steps: 4
|
45 |
+
- total_train_batch_size: 64
|
46 |
+
- total_eval_batch_size: 32
|
47 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
48 |
+
- lr_scheduler_type: cosine
|
49 |
+
- lr_scheduler_warmup_ratio: 0.1
|
50 |
+
- num_epochs: 5
|
51 |
+
|
52 |
+
### Training results
|
53 |
+
|
54 |
+
|
55 |
+
|
56 |
+
### Framework versions
|
57 |
+
|
58 |
+
- PEFT 0.12.0
|
59 |
+
- Transformers 4.44.0
|
60 |
+
- Pytorch 2.1.2
|
61 |
+
- Datasets 3.0.0
|
62 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.11420744479894639,
|
5 |
+
"train_runtime": 7032.7914,
|
6 |
+
"train_samples": 8000,
|
7 |
+
"train_samples_per_second": 5.688,
|
8 |
+
"train_steps_per_second": 0.089
|
9 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 0.11420744479894639,
|
5 |
+
"train_runtime": 7032.7914,
|
6 |
+
"train_samples": 8000,
|
7 |
+
"train_samples_per_second": 5.688,
|
8 |
+
"train_steps_per_second": 0.089
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,987 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 625,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.008,
|
13 |
+
"grad_norm": 0.5664516818518655,
|
14 |
+
"learning_rate": 7.936507936507937e-08,
|
15 |
+
"logits/chosen": -1.7671998739242554,
|
16 |
+
"logits/rejected": -2.2639822959899902,
|
17 |
+
"logps/chosen": -46.430763244628906,
|
18 |
+
"logps/rejected": -102.85381317138672,
|
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": 0.08,
|
28 |
+
"grad_norm": 0.5940666028150138,
|
29 |
+
"learning_rate": 7.936507936507937e-07,
|
30 |
+
"logits/chosen": -1.635621428489685,
|
31 |
+
"logits/rejected": -2.0303046703338623,
|
32 |
+
"logps/chosen": -50.40827941894531,
|
33 |
+
"logps/rejected": -98.84134674072266,
|
34 |
+
"loss": 0.6929,
|
35 |
+
"rewards/accuracies": 0.4930555522441864,
|
36 |
+
"rewards/chosen": -0.0004079286882188171,
|
37 |
+
"rewards/margins": 0.0003309930325485766,
|
38 |
+
"rewards/rejected": -0.0007389216334559023,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.16,
|
43 |
+
"grad_norm": 0.5693390021480599,
|
44 |
+
"learning_rate": 1.5873015873015873e-06,
|
45 |
+
"logits/chosen": -1.6660130023956299,
|
46 |
+
"logits/rejected": -2.1243433952331543,
|
47 |
+
"logps/chosen": -46.99885559082031,
|
48 |
+
"logps/rejected": -105.28565979003906,
|
49 |
+
"loss": 0.6876,
|
50 |
+
"rewards/accuracies": 0.9937499761581421,
|
51 |
+
"rewards/chosen": 0.0004832017293665558,
|
52 |
+
"rewards/margins": 0.012159029953181744,
|
53 |
+
"rewards/rejected": -0.011675829067826271,
|
54 |
+
"step": 20
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.24,
|
58 |
+
"grad_norm": 0.7544428399092442,
|
59 |
+
"learning_rate": 2.380952380952381e-06,
|
60 |
+
"logits/chosen": -1.7471415996551514,
|
61 |
+
"logits/rejected": -2.1227598190307617,
|
62 |
+
"logps/chosen": -50.86139678955078,
|
63 |
+
"logps/rejected": -106.50770568847656,
|
64 |
+
"loss": 0.6584,
|
65 |
+
"rewards/accuracies": 0.925000011920929,
|
66 |
+
"rewards/chosen": -0.0016866873484104872,
|
67 |
+
"rewards/margins": 0.07014349102973938,
|
68 |
+
"rewards/rejected": -0.07183017581701279,
|
69 |
+
"step": 30
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.32,
|
73 |
+
"grad_norm": 0.7543215495993858,
|
74 |
+
"learning_rate": 3.1746031746031746e-06,
|
75 |
+
"logits/chosen": -1.6426982879638672,
|
76 |
+
"logits/rejected": -2.0793442726135254,
|
77 |
+
"logps/chosen": -48.13318634033203,
|
78 |
+
"logps/rejected": -131.1614990234375,
|
79 |
+
"loss": 0.563,
|
80 |
+
"rewards/accuracies": 0.9750000238418579,
|
81 |
+
"rewards/chosen": 0.005994443781673908,
|
82 |
+
"rewards/margins": 0.3002367615699768,
|
83 |
+
"rewards/rejected": -0.29424232244491577,
|
84 |
+
"step": 40
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.4,
|
88 |
+
"grad_norm": 0.4924878173095808,
|
89 |
+
"learning_rate": 3.968253968253968e-06,
|
90 |
+
"logits/chosen": -1.583770990371704,
|
91 |
+
"logits/rejected": -2.0470001697540283,
|
92 |
+
"logps/chosen": -47.22152328491211,
|
93 |
+
"logps/rejected": -174.95742797851562,
|
94 |
+
"loss": 0.4123,
|
95 |
+
"rewards/accuracies": 0.9750000238418579,
|
96 |
+
"rewards/chosen": 0.01497081108391285,
|
97 |
+
"rewards/margins": 0.743770182132721,
|
98 |
+
"rewards/rejected": -0.7287994027137756,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.48,
|
103 |
+
"grad_norm": 0.3454006645724035,
|
104 |
+
"learning_rate": 4.761904761904762e-06,
|
105 |
+
"logits/chosen": -1.554491639137268,
|
106 |
+
"logits/rejected": -1.9409517049789429,
|
107 |
+
"logps/chosen": -54.594146728515625,
|
108 |
+
"logps/rejected": -216.20999145507812,
|
109 |
+
"loss": 0.301,
|
110 |
+
"rewards/accuracies": 0.9312499761581421,
|
111 |
+
"rewards/chosen": -0.03443662449717522,
|
112 |
+
"rewards/margins": 1.137538194656372,
|
113 |
+
"rewards/rejected": -1.171974778175354,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.56,
|
118 |
+
"grad_norm": 0.34001134236428526,
|
119 |
+
"learning_rate": 4.998086282661188e-06,
|
120 |
+
"logits/chosen": -1.459894061088562,
|
121 |
+
"logits/rejected": -1.9039119482040405,
|
122 |
+
"logps/chosen": -53.59501266479492,
|
123 |
+
"logps/rejected": -295.020751953125,
|
124 |
+
"loss": 0.2243,
|
125 |
+
"rewards/accuracies": 0.9437500238418579,
|
126 |
+
"rewards/chosen": -0.030449170619249344,
|
127 |
+
"rewards/margins": 1.905814528465271,
|
128 |
+
"rewards/rejected": -1.9362636804580688,
|
129 |
+
"step": 70
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.64,
|
133 |
+
"grad_norm": 0.15067611382441232,
|
134 |
+
"learning_rate": 4.988720025682995e-06,
|
135 |
+
"logits/chosen": -1.3985722064971924,
|
136 |
+
"logits/rejected": -1.8223779201507568,
|
137 |
+
"logps/chosen": -54.72029495239258,
|
138 |
+
"logps/rejected": -359.4449462890625,
|
139 |
+
"loss": 0.2107,
|
140 |
+
"rewards/accuracies": 0.949999988079071,
|
141 |
+
"rewards/chosen": -0.03896407037973404,
|
142 |
+
"rewards/margins": 2.546111583709717,
|
143 |
+
"rewards/rejected": -2.585075855255127,
|
144 |
+
"step": 80
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.72,
|
148 |
+
"grad_norm": 0.1607243644073366,
|
149 |
+
"learning_rate": 4.9715789537359126e-06,
|
150 |
+
"logits/chosen": -1.3732717037200928,
|
151 |
+
"logits/rejected": -1.775152564048767,
|
152 |
+
"logps/chosen": -58.017051696777344,
|
153 |
+
"logps/rejected": -388.412109375,
|
154 |
+
"loss": 0.1949,
|
155 |
+
"rewards/accuracies": 0.9437500238418579,
|
156 |
+
"rewards/chosen": -0.06883589923381805,
|
157 |
+
"rewards/margins": 2.8034896850585938,
|
158 |
+
"rewards/rejected": -2.8723256587982178,
|
159 |
+
"step": 90
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.8,
|
163 |
+
"grad_norm": 0.23308085253562452,
|
164 |
+
"learning_rate": 4.946716615897932e-06,
|
165 |
+
"logits/chosen": -1.4088760614395142,
|
166 |
+
"logits/rejected": -1.845401406288147,
|
167 |
+
"logps/chosen": -50.46847915649414,
|
168 |
+
"logps/rejected": -365.43017578125,
|
169 |
+
"loss": 0.1946,
|
170 |
+
"rewards/accuracies": 0.956250011920929,
|
171 |
+
"rewards/chosen": -0.003804679261520505,
|
172 |
+
"rewards/margins": 2.6316394805908203,
|
173 |
+
"rewards/rejected": -2.635444164276123,
|
174 |
+
"step": 100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.88,
|
178 |
+
"grad_norm": 0.26044789726674666,
|
179 |
+
"learning_rate": 4.9142106826480114e-06,
|
180 |
+
"logits/chosen": -1.3341541290283203,
|
181 |
+
"logits/rejected": -1.7699487209320068,
|
182 |
+
"logps/chosen": -52.57965087890625,
|
183 |
+
"logps/rejected": -368.12310791015625,
|
184 |
+
"loss": 0.1915,
|
185 |
+
"rewards/accuracies": 0.949999988079071,
|
186 |
+
"rewards/chosen": -0.02668028511106968,
|
187 |
+
"rewards/margins": 2.640017032623291,
|
188 |
+
"rewards/rejected": -2.6666972637176514,
|
189 |
+
"step": 110
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.96,
|
193 |
+
"grad_norm": 0.30708635657559097,
|
194 |
+
"learning_rate": 4.874162703221823e-06,
|
195 |
+
"logits/chosen": -1.2924244403839111,
|
196 |
+
"logits/rejected": -1.7736318111419678,
|
197 |
+
"logps/chosen": -38.64341735839844,
|
198 |
+
"logps/rejected": -411.8453063964844,
|
199 |
+
"loss": 0.1577,
|
200 |
+
"rewards/accuracies": 0.9937499761581421,
|
201 |
+
"rewards/chosen": 0.08109267055988312,
|
202 |
+
"rewards/margins": 3.1581881046295166,
|
203 |
+
"rewards/rejected": -3.0770950317382812,
|
204 |
+
"step": 120
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 1.04,
|
208 |
+
"grad_norm": 0.2936514218907092,
|
209 |
+
"learning_rate": 4.826697788369752e-06,
|
210 |
+
"logits/chosen": -1.3301618099212646,
|
211 |
+
"logits/rejected": -1.7304044961929321,
|
212 |
+
"logps/chosen": -57.28544998168945,
|
213 |
+
"logps/rejected": -383.7294616699219,
|
214 |
+
"loss": 0.1735,
|
215 |
+
"rewards/accuracies": 0.9312499761581421,
|
216 |
+
"rewards/chosen": -0.060813553631305695,
|
217 |
+
"rewards/margins": 2.7762393951416016,
|
218 |
+
"rewards/rejected": -2.837052822113037,
|
219 |
+
"step": 130
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 1.12,
|
223 |
+
"grad_norm": 0.7127879450944201,
|
224 |
+
"learning_rate": 4.7719642195082224e-06,
|
225 |
+
"logits/chosen": -1.3428221940994263,
|
226 |
+
"logits/rejected": -1.8241684436798096,
|
227 |
+
"logps/chosen": -49.40485382080078,
|
228 |
+
"logps/rejected": -397.02685546875,
|
229 |
+
"loss": 0.167,
|
230 |
+
"rewards/accuracies": 0.949999988079071,
|
231 |
+
"rewards/chosen": 0.005482205655425787,
|
232 |
+
"rewards/margins": 2.9638657569885254,
|
233 |
+
"rewards/rejected": -2.958383798599243,
|
234 |
+
"step": 140
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 1.2,
|
238 |
+
"grad_norm": 0.7195419525970039,
|
239 |
+
"learning_rate": 4.710132985485355e-06,
|
240 |
+
"logits/chosen": -1.2738778591156006,
|
241 |
+
"logits/rejected": -1.7257006168365479,
|
242 |
+
"logps/chosen": -53.46342849731445,
|
243 |
+
"logps/rejected": -413.75091552734375,
|
244 |
+
"loss": 0.1777,
|
245 |
+
"rewards/accuracies": 0.9312499761581421,
|
246 |
+
"rewards/chosen": -0.01903398148715496,
|
247 |
+
"rewards/margins": 3.1122589111328125,
|
248 |
+
"rewards/rejected": -3.1312928199768066,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 1.28,
|
253 |
+
"grad_norm": 0.5831467127347119,
|
254 |
+
"learning_rate": 4.641397248408122e-06,
|
255 |
+
"logits/chosen": -1.3061014413833618,
|
256 |
+
"logits/rejected": -1.7850764989852905,
|
257 |
+
"logps/chosen": -49.27734375,
|
258 |
+
"logps/rejected": -427.78338623046875,
|
259 |
+
"loss": 0.128,
|
260 |
+
"rewards/accuracies": 0.9437500238418579,
|
261 |
+
"rewards/chosen": 0.00814875029027462,
|
262 |
+
"rewards/margins": 3.2720084190368652,
|
263 |
+
"rewards/rejected": -3.263859510421753,
|
264 |
+
"step": 160
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 1.3599999999999999,
|
268 |
+
"grad_norm": 0.37604055418234283,
|
269 |
+
"learning_rate": 4.5659717401997655e-06,
|
270 |
+
"logits/chosen": -1.2165374755859375,
|
271 |
+
"logits/rejected": -1.7296428680419922,
|
272 |
+
"logps/chosen": -43.91862106323242,
|
273 |
+
"logps/rejected": -461.78021240234375,
|
274 |
+
"loss": 0.1334,
|
275 |
+
"rewards/accuracies": 0.96875,
|
276 |
+
"rewards/chosen": 0.04128595441579819,
|
277 |
+
"rewards/margins": 3.6384873390197754,
|
278 |
+
"rewards/rejected": -3.597201108932495,
|
279 |
+
"step": 170
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.44,
|
283 |
+
"grad_norm": 1.886026671708352,
|
284 |
+
"learning_rate": 4.4840920917726425e-06,
|
285 |
+
"logits/chosen": -1.2202318906784058,
|
286 |
+
"logits/rejected": -1.7096608877182007,
|
287 |
+
"logps/chosen": -48.562477111816406,
|
288 |
+
"logps/rejected": -456.2506408691406,
|
289 |
+
"loss": 0.1219,
|
290 |
+
"rewards/accuracies": 0.9375,
|
291 |
+
"rewards/chosen": 0.016236167401075363,
|
292 |
+
"rewards/margins": 3.572105884552002,
|
293 |
+
"rewards/rejected": -3.5558693408966064,
|
294 |
+
"step": 180
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 1.52,
|
298 |
+
"grad_norm": 1.208359086336539,
|
299 |
+
"learning_rate": 4.396014096912182e-06,
|
300 |
+
"logits/chosen": -1.1344788074493408,
|
301 |
+
"logits/rejected": -1.5908814668655396,
|
302 |
+
"logps/chosen": -47.373992919921875,
|
303 |
+
"logps/rejected": -488.7273864746094,
|
304 |
+
"loss": 0.0984,
|
305 |
+
"rewards/accuracies": 0.9375,
|
306 |
+
"rewards/chosen": 0.023608360439538956,
|
307 |
+
"rewards/margins": 3.904538631439209,
|
308 |
+
"rewards/rejected": -3.8809304237365723,
|
309 |
+
"step": 190
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.6,
|
313 |
+
"grad_norm": 3.9821859292862705,
|
314 |
+
"learning_rate": 4.302012913171584e-06,
|
315 |
+
"logits/chosen": -1.2608126401901245,
|
316 |
+
"logits/rejected": -1.7331119775772095,
|
317 |
+
"logps/chosen": -41.71361541748047,
|
318 |
+
"logps/rejected": -526.3060302734375,
|
319 |
+
"loss": 0.102,
|
320 |
+
"rewards/accuracies": 0.956250011920929,
|
321 |
+
"rewards/chosen": 0.08378119766712189,
|
322 |
+
"rewards/margins": 4.328982353210449,
|
323 |
+
"rewards/rejected": -4.245201110839844,
|
324 |
+
"step": 200
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 1.6800000000000002,
|
328 |
+
"grad_norm": 1.5269166268578003,
|
329 |
+
"learning_rate": 4.202382202273702e-06,
|
330 |
+
"logits/chosen": -1.114254117012024,
|
331 |
+
"logits/rejected": -1.6004146337509155,
|
332 |
+
"logps/chosen": -40.91397476196289,
|
333 |
+
"logps/rejected": -533.20751953125,
|
334 |
+
"loss": 0.0837,
|
335 |
+
"rewards/accuracies": 0.9624999761581421,
|
336 |
+
"rewards/chosen": 0.08689381927251816,
|
337 |
+
"rewards/margins": 4.404597759246826,
|
338 |
+
"rewards/rejected": -4.317704200744629,
|
339 |
+
"step": 210
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.76,
|
343 |
+
"grad_norm": 3.6420048929792053,
|
344 |
+
"learning_rate": 4.097433212705492e-06,
|
345 |
+
"logits/chosen": -1.1888163089752197,
|
346 |
+
"logits/rejected": -1.7389936447143555,
|
347 |
+
"logps/chosen": -37.578697204589844,
|
348 |
+
"logps/rejected": -569.4190673828125,
|
349 |
+
"loss": 0.0527,
|
350 |
+
"rewards/accuracies": 0.987500011920929,
|
351 |
+
"rewards/chosen": 0.10641758143901825,
|
352 |
+
"rewards/margins": 4.77039909362793,
|
353 |
+
"rewards/rejected": -4.663981914520264,
|
354 |
+
"step": 220
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 1.8399999999999999,
|
358 |
+
"grad_norm": 7.795327748358564,
|
359 |
+
"learning_rate": 3.987493807371033e-06,
|
360 |
+
"logits/chosen": -1.1736271381378174,
|
361 |
+
"logits/rejected": -1.6653432846069336,
|
362 |
+
"logps/chosen": -39.23591995239258,
|
363 |
+
"logps/rejected": -596.703369140625,
|
364 |
+
"loss": 0.0708,
|
365 |
+
"rewards/accuracies": 0.981249988079071,
|
366 |
+
"rewards/chosen": 0.09144876152276993,
|
367 |
+
"rewards/margins": 5.02878999710083,
|
368 |
+
"rewards/rejected": -4.93734073638916,
|
369 |
+
"step": 230
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.92,
|
373 |
+
"grad_norm": 3.784757324910154,
|
374 |
+
"learning_rate": 3.872907439340758e-06,
|
375 |
+
"logits/chosen": -1.1998341083526611,
|
376 |
+
"logits/rejected": -1.5868158340454102,
|
377 |
+
"logps/chosen": -40.40230178833008,
|
378 |
+
"logps/rejected": -578.6609497070312,
|
379 |
+
"loss": 0.0589,
|
380 |
+
"rewards/accuracies": 0.9437500238418579,
|
381 |
+
"rewards/chosen": 0.10270919650793076,
|
382 |
+
"rewards/margins": 4.877388954162598,
|
383 |
+
"rewards/rejected": -4.774679660797119,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 2.0,
|
388 |
+
"grad_norm": 1.1274212490773023,
|
389 |
+
"learning_rate": 3.75403207889666e-06,
|
390 |
+
"logits/chosen": -1.2294795513153076,
|
391 |
+
"logits/rejected": -1.621289849281311,
|
392 |
+
"logps/chosen": -40.97010040283203,
|
393 |
+
"logps/rejected": -588.9901733398438,
|
394 |
+
"loss": 0.0505,
|
395 |
+
"rewards/accuracies": 0.9437500238418579,
|
396 |
+
"rewards/chosen": 0.09869703650474548,
|
397 |
+
"rewards/margins": 4.985424041748047,
|
398 |
+
"rewards/rejected": -4.886727333068848,
|
399 |
+
"step": 250
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 2.08,
|
403 |
+
"grad_norm": 0.1615894379623363,
|
404 |
+
"learning_rate": 3.631239095225417e-06,
|
405 |
+
"logits/chosen": -1.104773759841919,
|
406 |
+
"logits/rejected": -1.556726098060608,
|
407 |
+
"logps/chosen": -41.80849075317383,
|
408 |
+
"logps/rejected": -610.6696166992188,
|
409 |
+
"loss": 0.0473,
|
410 |
+
"rewards/accuracies": 0.96875,
|
411 |
+
"rewards/chosen": 0.08216419816017151,
|
412 |
+
"rewards/margins": 5.163956642150879,
|
413 |
+
"rewards/rejected": -5.081791877746582,
|
414 |
+
"step": 260
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 2.16,
|
418 |
+
"grad_norm": 0.20738276054029106,
|
419 |
+
"learning_rate": 3.5049120962530608e-06,
|
420 |
+
"logits/chosen": -1.144113302230835,
|
421 |
+
"logits/rejected": -1.526831865310669,
|
422 |
+
"logps/chosen": -40.4541015625,
|
423 |
+
"logps/rejected": -581.6177978515625,
|
424 |
+
"loss": 0.0562,
|
425 |
+
"rewards/accuracies": 0.9375,
|
426 |
+
"rewards/chosen": 0.10693266242742538,
|
427 |
+
"rewards/margins": 4.924569129943848,
|
428 |
+
"rewards/rejected": -4.817636013031006,
|
429 |
+
"step": 270
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 2.24,
|
433 |
+
"grad_norm": 0.08228415199969275,
|
434 |
+
"learning_rate": 3.3754457302455464e-06,
|
435 |
+
"logits/chosen": -1.1058952808380127,
|
436 |
+
"logits/rejected": -1.5095767974853516,
|
437 |
+
"logps/chosen": -40.29807662963867,
|
438 |
+
"logps/rejected": -614.50634765625,
|
439 |
+
"loss": 0.0422,
|
440 |
+
"rewards/accuracies": 0.96875,
|
441 |
+
"rewards/chosen": 0.1043148785829544,
|
442 |
+
"rewards/margins": 5.244091033935547,
|
443 |
+
"rewards/rejected": -5.139776229858398,
|
444 |
+
"step": 280
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 2.32,
|
448 |
+
"grad_norm": 0.5196221393419624,
|
449 |
+
"learning_rate": 3.2432444529190714e-06,
|
450 |
+
"logits/chosen": -1.113113284111023,
|
451 |
+
"logits/rejected": -1.501694917678833,
|
452 |
+
"logps/chosen": -39.059715270996094,
|
453 |
+
"logps/rejected": -635.2387084960938,
|
454 |
+
"loss": 0.0458,
|
455 |
+
"rewards/accuracies": 0.981249988079071,
|
456 |
+
"rewards/chosen": 0.10602055490016937,
|
457 |
+
"rewards/margins": 5.451790809631348,
|
458 |
+
"rewards/rejected": -5.345770359039307,
|
459 |
+
"step": 290
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 2.4,
|
463 |
+
"grad_norm": 0.08825766353470356,
|
464 |
+
"learning_rate": 3.1087212639117057e-06,
|
465 |
+
"logits/chosen": -1.1622686386108398,
|
466 |
+
"logits/rejected": -1.5392283201217651,
|
467 |
+
"logps/chosen": -39.0388298034668,
|
468 |
+
"logps/rejected": -639.8673095703125,
|
469 |
+
"loss": 0.0312,
|
470 |
+
"rewards/accuracies": 1.0,
|
471 |
+
"rewards/chosen": 0.11618944257497787,
|
472 |
+
"rewards/margins": 5.501553535461426,
|
473 |
+
"rewards/rejected": -5.385363578796387,
|
474 |
+
"step": 300
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 2.48,
|
478 |
+
"grad_norm": 0.10694009885473299,
|
479 |
+
"learning_rate": 2.9722964165636263e-06,
|
480 |
+
"logits/chosen": -1.1022515296936035,
|
481 |
+
"logits/rejected": -1.4340097904205322,
|
482 |
+
"logps/chosen": -39.469932556152344,
|
483 |
+
"logps/rejected": -641.5587768554688,
|
484 |
+
"loss": 0.0458,
|
485 |
+
"rewards/accuracies": 1.0,
|
486 |
+
"rewards/chosen": 0.11364182084798813,
|
487 |
+
"rewards/margins": 5.520757675170898,
|
488 |
+
"rewards/rejected": -5.407115459442139,
|
489 |
+
"step": 310
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 2.56,
|
493 |
+
"grad_norm": 0.4507687634087117,
|
494 |
+
"learning_rate": 2.8343961050366275e-06,
|
495 |
+
"logits/chosen": -1.0810810327529907,
|
496 |
+
"logits/rejected": -1.4569213390350342,
|
497 |
+
"logps/chosen": -41.17557144165039,
|
498 |
+
"logps/rejected": -649.1512451171875,
|
499 |
+
"loss": 0.0228,
|
500 |
+
"rewards/accuracies": 0.9937499761581421,
|
501 |
+
"rewards/chosen": 0.07850812375545502,
|
502 |
+
"rewards/margins": 5.554858207702637,
|
503 |
+
"rewards/rejected": -5.476349830627441,
|
504 |
+
"step": 320
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 2.64,
|
508 |
+
"grad_norm": 0.03148227835487055,
|
509 |
+
"learning_rate": 2.695451132874385e-06,
|
510 |
+
"logits/chosen": -1.0946557521820068,
|
511 |
+
"logits/rejected": -1.494209885597229,
|
512 |
+
"logps/chosen": -44.248779296875,
|
513 |
+
"logps/rejected": -679.5821533203125,
|
514 |
+
"loss": 0.0242,
|
515 |
+
"rewards/accuracies": 1.0,
|
516 |
+
"rewards/chosen": 0.04512793570756912,
|
517 |
+
"rewards/margins": 5.8134870529174805,
|
518 |
+
"rewards/rejected": -5.768359184265137,
|
519 |
+
"step": 330
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 2.7199999999999998,
|
523 |
+
"grad_norm": 0.07742711911111466,
|
524 |
+
"learning_rate": 2.5558955671628964e-06,
|
525 |
+
"logits/chosen": -1.1254152059555054,
|
526 |
+
"logits/rejected": -1.4622461795806885,
|
527 |
+
"logps/chosen": -45.729515075683594,
|
528 |
+
"logps/rejected": -666.0767211914062,
|
529 |
+
"loss": 0.051,
|
530 |
+
"rewards/accuracies": 1.0,
|
531 |
+
"rewards/chosen": 0.046021558344364166,
|
532 |
+
"rewards/margins": 5.69630241394043,
|
533 |
+
"rewards/rejected": -5.650280952453613,
|
534 |
+
"step": 340
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 2.8,
|
538 |
+
"grad_norm": 0.0712177913874092,
|
539 |
+
"learning_rate": 2.4161653824955654e-06,
|
540 |
+
"logits/chosen": -1.2363636493682861,
|
541 |
+
"logits/rejected": -1.6161434650421143,
|
542 |
+
"logps/chosen": -47.28390884399414,
|
543 |
+
"logps/rejected": -664.1326904296875,
|
544 |
+
"loss": 0.0351,
|
545 |
+
"rewards/accuracies": 1.0,
|
546 |
+
"rewards/chosen": 0.038107506930828094,
|
547 |
+
"rewards/margins": 5.666635990142822,
|
548 |
+
"rewards/rejected": -5.628528118133545,
|
549 |
+
"step": 350
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 2.88,
|
553 |
+
"grad_norm": 0.11629194717439449,
|
554 |
+
"learning_rate": 2.2766970989791697e-06,
|
555 |
+
"logits/chosen": -1.2213943004608154,
|
556 |
+
"logits/rejected": -1.5998932123184204,
|
557 |
+
"logps/chosen": -48.74114990234375,
|
558 |
+
"logps/rejected": -667.0240478515625,
|
559 |
+
"loss": 0.0453,
|
560 |
+
"rewards/accuracies": 1.0,
|
561 |
+
"rewards/chosen": 0.0151976328343153,
|
562 |
+
"rewards/margins": 5.664753437042236,
|
563 |
+
"rewards/rejected": -5.649555683135986,
|
564 |
+
"step": 360
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 2.96,
|
568 |
+
"grad_norm": 0.0614653072363607,
|
569 |
+
"learning_rate": 2.1379264185356545e-06,
|
570 |
+
"logits/chosen": -1.205859899520874,
|
571 |
+
"logits/rejected": -1.5529258251190186,
|
572 |
+
"logps/chosen": -48.79401397705078,
|
573 |
+
"logps/rejected": -669.0440063476562,
|
574 |
+
"loss": 0.0517,
|
575 |
+
"rewards/accuracies": 1.0,
|
576 |
+
"rewards/chosen": 0.007499977946281433,
|
577 |
+
"rewards/margins": 5.6917924880981445,
|
578 |
+
"rewards/rejected": -5.684292316436768,
|
579 |
+
"step": 370
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 3.04,
|
583 |
+
"grad_norm": 0.10523859679268263,
|
584 |
+
"learning_rate": 2.000286863759934e-06,
|
585 |
+
"logits/chosen": -1.255184531211853,
|
586 |
+
"logits/rejected": -1.6094391345977783,
|
587 |
+
"logps/chosen": -48.94397735595703,
|
588 |
+
"logps/rejected": -655.6014404296875,
|
589 |
+
"loss": 0.0253,
|
590 |
+
"rewards/accuracies": 1.0,
|
591 |
+
"rewards/chosen": 0.006729847751557827,
|
592 |
+
"rewards/margins": 5.557109832763672,
|
593 |
+
"rewards/rejected": -5.550379753112793,
|
594 |
+
"step": 380
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 3.12,
|
598 |
+
"grad_norm": 0.2735817193264242,
|
599 |
+
"learning_rate": 1.8642084235859764e-06,
|
600 |
+
"logits/chosen": -1.2955033779144287,
|
601 |
+
"logits/rejected": -1.6524699926376343,
|
602 |
+
"logps/chosen": -50.138023376464844,
|
603 |
+
"logps/rejected": -673.2332763671875,
|
604 |
+
"loss": 0.0373,
|
605 |
+
"rewards/accuracies": 1.0,
|
606 |
+
"rewards/chosen": -0.0004118751676287502,
|
607 |
+
"rewards/margins": 5.711531639099121,
|
608 |
+
"rewards/rejected": -5.711943626403809,
|
609 |
+
"step": 390
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 3.2,
|
613 |
+
"grad_norm": 0.13877956212009288,
|
614 |
+
"learning_rate": 1.7301162099921013e-06,
|
615 |
+
"logits/chosen": -1.3686187267303467,
|
616 |
+
"logits/rejected": -1.6736618280410767,
|
617 |
+
"logps/chosen": -49.265708923339844,
|
618 |
+
"logps/rejected": -656.8291625976562,
|
619 |
+
"loss": 0.035,
|
620 |
+
"rewards/accuracies": 1.0,
|
621 |
+
"rewards/chosen": 0.025733808055520058,
|
622 |
+
"rewards/margins": 5.595955848693848,
|
623 |
+
"rewards/rejected": -5.5702223777771,
|
624 |
+
"step": 400
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 3.2800000000000002,
|
628 |
+
"grad_norm": 0.06971630538785722,
|
629 |
+
"learning_rate": 1.5984291299420117e-06,
|
630 |
+
"logits/chosen": -1.3197619915008545,
|
631 |
+
"logits/rejected": -1.6505024433135986,
|
632 |
+
"logps/chosen": -53.06304168701172,
|
633 |
+
"logps/rejected": -688.3905639648438,
|
634 |
+
"loss": 0.0277,
|
635 |
+
"rewards/accuracies": 0.9937499761581421,
|
636 |
+
"rewards/chosen": -0.038484591990709305,
|
637 |
+
"rewards/margins": 5.8287577629089355,
|
638 |
+
"rewards/rejected": -5.867241859436035,
|
639 |
+
"step": 410
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 3.36,
|
643 |
+
"grad_norm": 0.16813880626958627,
|
644 |
+
"learning_rate": 1.4695585767104092e-06,
|
645 |
+
"logits/chosen": -1.35333251953125,
|
646 |
+
"logits/rejected": -1.6515657901763916,
|
647 |
+
"logps/chosen": -52.462486267089844,
|
648 |
+
"logps/rejected": -676.153076171875,
|
649 |
+
"loss": 0.0198,
|
650 |
+
"rewards/accuracies": 1.0,
|
651 |
+
"rewards/chosen": -0.030403846874833107,
|
652 |
+
"rewards/margins": 5.729649543762207,
|
653 |
+
"rewards/rejected": -5.760053634643555,
|
654 |
+
"step": 420
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 3.44,
|
658 |
+
"grad_norm": 6.506151264887685,
|
659 |
+
"learning_rate": 1.3439071446815452e-06,
|
660 |
+
"logits/chosen": -1.4076862335205078,
|
661 |
+
"logits/rejected": -1.6836458444595337,
|
662 |
+
"logps/chosen": -54.67851638793945,
|
663 |
+
"logps/rejected": -673.2918701171875,
|
664 |
+
"loss": 0.0345,
|
665 |
+
"rewards/accuracies": 0.9937499761581421,
|
666 |
+
"rewards/chosen": -0.03381548449397087,
|
667 |
+
"rewards/margins": 5.694668769836426,
|
668 |
+
"rewards/rejected": -5.728484153747559,
|
669 |
+
"step": 430
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 3.52,
|
673 |
+
"grad_norm": 0.10218706215191123,
|
674 |
+
"learning_rate": 1.2218673716356919e-06,
|
675 |
+
"logits/chosen": -1.4333115816116333,
|
676 |
+
"logits/rejected": -1.6782299280166626,
|
677 |
+
"logps/chosen": -52.76792526245117,
|
678 |
+
"logps/rejected": -660.284423828125,
|
679 |
+
"loss": 0.0298,
|
680 |
+
"rewards/accuracies": 1.0,
|
681 |
+
"rewards/chosen": 0.004182952456176281,
|
682 |
+
"rewards/margins": 5.621959686279297,
|
683 |
+
"rewards/rejected": -5.617777347564697,
|
684 |
+
"step": 440
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 3.6,
|
688 |
+
"grad_norm": 0.08325288613545898,
|
689 |
+
"learning_rate": 1.103820512452661e-06,
|
690 |
+
"logits/chosen": -1.4696094989776611,
|
691 |
+
"logits/rejected": -1.7935911417007446,
|
692 |
+
"logps/chosen": -51.96623611450195,
|
693 |
+
"logps/rejected": -688.1324462890625,
|
694 |
+
"loss": 0.042,
|
695 |
+
"rewards/accuracies": 1.0,
|
696 |
+
"rewards/chosen": -0.026469239965081215,
|
697 |
+
"rewards/margins": 5.847690105438232,
|
698 |
+
"rewards/rejected": -5.874159812927246,
|
699 |
+
"step": 450
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 3.68,
|
703 |
+
"grad_norm": 0.07973945849285877,
|
704 |
+
"learning_rate": 9.901353480633468e-07,
|
705 |
+
"logits/chosen": -1.4555690288543701,
|
706 |
+
"logits/rejected": -1.784189224243164,
|
707 |
+
"logps/chosen": -52.75232696533203,
|
708 |
+
"logps/rejected": -679.7716064453125,
|
709 |
+
"loss": 0.0362,
|
710 |
+
"rewards/accuracies": 1.0,
|
711 |
+
"rewards/chosen": -0.03310062736272812,
|
712 |
+
"rewards/margins": 5.753149509429932,
|
713 |
+
"rewards/rejected": -5.786250114440918,
|
714 |
+
"step": 460
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 3.76,
|
718 |
+
"grad_norm": 0.05215554947056918,
|
719 |
+
"learning_rate": 8.811670333701544e-07,
|
720 |
+
"logits/chosen": -1.4402834177017212,
|
721 |
+
"logits/rejected": -1.730446457862854,
|
722 |
+
"logps/chosen": -52.232666015625,
|
723 |
+
"logps/rejected": -685.2855224609375,
|
724 |
+
"loss": 0.0213,
|
725 |
+
"rewards/accuracies": 1.0,
|
726 |
+
"rewards/chosen": -0.015675092115998268,
|
727 |
+
"rewards/margins": 5.823694705963135,
|
728 |
+
"rewards/rejected": -5.839369773864746,
|
729 |
+
"step": 470
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 3.84,
|
733 |
+
"grad_norm": 0.8907616320159397,
|
734 |
+
"learning_rate": 7.772559877354341e-07,
|
735 |
+
"logits/chosen": -1.5031287670135498,
|
736 |
+
"logits/rejected": -1.7836637496948242,
|
737 |
+
"logps/chosen": -54.20964431762695,
|
738 |
+
"logps/rejected": -671.3470458984375,
|
739 |
+
"loss": 0.0383,
|
740 |
+
"rewards/accuracies": 1.0,
|
741 |
+
"rewards/chosen": -0.03484940528869629,
|
742 |
+
"rewards/margins": 5.683054447174072,
|
743 |
+
"rewards/rejected": -5.717903137207031,
|
744 |
+
"step": 480
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 3.92,
|
748 |
+
"grad_norm": 0.08795166948742635,
|
749 |
+
"learning_rate": 6.787268315040604e-07,
|
750 |
+
"logits/chosen": -1.4750686883926392,
|
751 |
+
"logits/rejected": -1.7797225713729858,
|
752 |
+
"logps/chosen": -53.79764938354492,
|
753 |
+
"logps/rejected": -694.2701416015625,
|
754 |
+
"loss": 0.0221,
|
755 |
+
"rewards/accuracies": 1.0,
|
756 |
+
"rewards/chosen": -0.03998209163546562,
|
757 |
+
"rewards/margins": 5.879731178283691,
|
758 |
+
"rewards/rejected": -5.919713497161865,
|
759 |
+
"step": 490
|
760 |
+
},
|
761 |
+
{
|
762 |
+
"epoch": 4.0,
|
763 |
+
"grad_norm": 3.7786029105030954,
|
764 |
+
"learning_rate": 5.858873718824829e-07,
|
765 |
+
"logits/chosen": -1.55056893825531,
|
766 |
+
"logits/rejected": -1.832313895225525,
|
767 |
+
"logps/chosen": -56.137054443359375,
|
768 |
+
"logps/rejected": -684.9733276367188,
|
769 |
+
"loss": 0.0293,
|
770 |
+
"rewards/accuracies": 0.9937499761581421,
|
771 |
+
"rewards/chosen": -0.05843985825777054,
|
772 |
+
"rewards/margins": 5.785708427429199,
|
773 |
+
"rewards/rejected": -5.844147682189941,
|
774 |
+
"step": 500
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 4.08,
|
778 |
+
"grad_norm": 0.05189315042878034,
|
779 |
+
"learning_rate": 4.990276413423817e-07,
|
780 |
+
"logits/chosen": -1.59425687789917,
|
781 |
+
"logits/rejected": -1.8570120334625244,
|
782 |
+
"logps/chosen": -54.740135192871094,
|
783 |
+
"logps/rejected": -661.8132934570312,
|
784 |
+
"loss": 0.0275,
|
785 |
+
"rewards/accuracies": 1.0,
|
786 |
+
"rewards/chosen": -0.029537344351410866,
|
787 |
+
"rewards/margins": 5.607969284057617,
|
788 |
+
"rewards/rejected": -5.63750696182251,
|
789 |
+
"step": 510
|
790 |
+
},
|
791 |
+
{
|
792 |
+
"epoch": 4.16,
|
793 |
+
"grad_norm": 2.9723273056492787,
|
794 |
+
"learning_rate": 4.184189915529796e-07,
|
795 |
+
"logits/chosen": -1.5383813381195068,
|
796 |
+
"logits/rejected": -1.7925872802734375,
|
797 |
+
"logps/chosen": -55.53809356689453,
|
798 |
+
"logps/rejected": -685.3880004882812,
|
799 |
+
"loss": 0.0312,
|
800 |
+
"rewards/accuracies": 1.0,
|
801 |
+
"rewards/chosen": -0.054846394807100296,
|
802 |
+
"rewards/margins": 5.796133995056152,
|
803 |
+
"rewards/rejected": -5.850980281829834,
|
804 |
+
"step": 520
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 4.24,
|
808 |
+
"grad_norm": 0.061241630442406096,
|
809 |
+
"learning_rate": 3.4431324567258176e-07,
|
810 |
+
"logits/chosen": -1.5691543817520142,
|
811 |
+
"logits/rejected": -1.838580846786499,
|
812 |
+
"logps/chosen": -54.7171630859375,
|
813 |
+
"logps/rejected": -691.39990234375,
|
814 |
+
"loss": 0.0183,
|
815 |
+
"rewards/accuracies": 1.0,
|
816 |
+
"rewards/chosen": -0.05066860839724541,
|
817 |
+
"rewards/margins": 5.8546953201293945,
|
818 |
+
"rewards/rejected": -5.905364990234375,
|
819 |
+
"step": 530
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 4.32,
|
823 |
+
"grad_norm": 1.4547140093392317,
|
824 |
+
"learning_rate": 2.769419116476052e-07,
|
825 |
+
"logits/chosen": -1.563213586807251,
|
826 |
+
"logits/rejected": -1.8497707843780518,
|
827 |
+
"logps/chosen": -58.22840118408203,
|
828 |
+
"logps/rejected": -689.0776977539062,
|
829 |
+
"loss": 0.0316,
|
830 |
+
"rewards/accuracies": 1.0,
|
831 |
+
"rewards/chosen": -0.0835486501455307,
|
832 |
+
"rewards/margins": 5.783991813659668,
|
833 |
+
"rewards/rejected": -5.867539882659912,
|
834 |
+
"step": 540
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 4.4,
|
838 |
+
"grad_norm": 0.09632694899585373,
|
839 |
+
"learning_rate": 2.1651545897676512e-07,
|
840 |
+
"logits/chosen": -1.5931028127670288,
|
841 |
+
"logits/rejected": -1.7936248779296875,
|
842 |
+
"logps/chosen": -56.02924728393555,
|
843 |
+
"logps/rejected": -645.4485473632812,
|
844 |
+
"loss": 0.0301,
|
845 |
+
"rewards/accuracies": 1.0,
|
846 |
+
"rewards/chosen": -0.021922914311289787,
|
847 |
+
"rewards/margins": 5.465601921081543,
|
848 |
+
"rewards/rejected": -5.48752498626709,
|
849 |
+
"step": 550
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 4.48,
|
853 |
+
"grad_norm": 0.04943636920795491,
|
854 |
+
"learning_rate": 1.6322266119983222e-07,
|
855 |
+
"logits/chosen": -1.5493812561035156,
|
856 |
+
"logits/rejected": -1.7953119277954102,
|
857 |
+
"logps/chosen": -56.0436897277832,
|
858 |
+
"logps/rejected": -691.9136962890625,
|
859 |
+
"loss": 0.0309,
|
860 |
+
"rewards/accuracies": 1.0,
|
861 |
+
"rewards/chosen": -0.048449721187353134,
|
862 |
+
"rewards/margins": 5.857935905456543,
|
863 |
+
"rewards/rejected": -5.906384468078613,
|
864 |
+
"step": 560
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 4.5600000000000005,
|
868 |
+
"grad_norm": 0.03808578514394721,
|
869 |
+
"learning_rate": 1.1723000616502167e-07,
|
870 |
+
"logits/chosen": -1.60978102684021,
|
871 |
+
"logits/rejected": -1.8922958374023438,
|
872 |
+
"logps/chosen": -54.7984733581543,
|
873 |
+
"logps/rejected": -690.01708984375,
|
874 |
+
"loss": 0.0255,
|
875 |
+
"rewards/accuracies": 1.0,
|
876 |
+
"rewards/chosen": -0.0441301092505455,
|
877 |
+
"rewards/margins": 5.842381954193115,
|
878 |
+
"rewards/rejected": -5.88651180267334,
|
879 |
+
"step": 570
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 4.64,
|
883 |
+
"grad_norm": 2.3694244096968626,
|
884 |
+
"learning_rate": 7.868117591737585e-08,
|
885 |
+
"logits/chosen": -1.5402578115463257,
|
886 |
+
"logits/rejected": -1.8241513967514038,
|
887 |
+
"logps/chosen": -54.9166145324707,
|
888 |
+
"logps/rejected": -706.30517578125,
|
889 |
+
"loss": 0.0275,
|
890 |
+
"rewards/accuracies": 1.0,
|
891 |
+
"rewards/chosen": -0.06171821430325508,
|
892 |
+
"rewards/margins": 5.9701948165893555,
|
893 |
+
"rewards/rejected": -6.0319132804870605,
|
894 |
+
"step": 580
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 4.72,
|
898 |
+
"grad_norm": 0.10922169576399046,
|
899 |
+
"learning_rate": 4.769659783295383e-08,
|
900 |
+
"logits/chosen": -1.5660226345062256,
|
901 |
+
"logits/rejected": -1.8422683477401733,
|
902 |
+
"logps/chosen": -55.509124755859375,
|
903 |
+
"logps/rejected": -702.1007690429688,
|
904 |
+
"loss": 0.0242,
|
905 |
+
"rewards/accuracies": 1.0,
|
906 |
+
"rewards/chosen": -0.06676045805215836,
|
907 |
+
"rewards/margins": 5.940011978149414,
|
908 |
+
"rewards/rejected": -6.006772041320801,
|
909 |
+
"step": 590
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 4.8,
|
913 |
+
"grad_norm": 2.8341685934157685,
|
914 |
+
"learning_rate": 2.4373068401120358e-08,
|
915 |
+
"logits/chosen": -1.5939277410507202,
|
916 |
+
"logits/rejected": -1.8403106927871704,
|
917 |
+
"logps/chosen": -60.82611083984375,
|
918 |
+
"logps/rejected": -691.7379760742188,
|
919 |
+
"loss": 0.0428,
|
920 |
+
"rewards/accuracies": 0.9937499761581421,
|
921 |
+
"rewards/chosen": -0.11341984570026398,
|
922 |
+
"rewards/margins": 5.790899753570557,
|
923 |
+
"rewards/rejected": -5.904318809509277,
|
924 |
+
"step": 600
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 4.88,
|
928 |
+
"grad_norm": 0.07385822938500211,
|
929 |
+
"learning_rate": 8.78345083022425e-09,
|
930 |
+
"logits/chosen": -1.59212327003479,
|
931 |
+
"logits/rejected": -1.8330879211425781,
|
932 |
+
"logps/chosen": -56.40080642700195,
|
933 |
+
"logps/rejected": -696.3282470703125,
|
934 |
+
"loss": 0.0212,
|
935 |
+
"rewards/accuracies": 1.0,
|
936 |
+
"rewards/chosen": -0.0736762136220932,
|
937 |
+
"rewards/margins": 5.873372554779053,
|
938 |
+
"rewards/rejected": -5.947049140930176,
|
939 |
+
"step": 610
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 4.96,
|
943 |
+
"grad_norm": 0.04029123800852909,
|
944 |
+
"learning_rate": 9.764474213677654e-10,
|
945 |
+
"logits/chosen": -1.5612826347351074,
|
946 |
+
"logits/rejected": -1.7991596460342407,
|
947 |
+
"logps/chosen": -56.65840530395508,
|
948 |
+
"logps/rejected": -704.2085571289062,
|
949 |
+
"loss": 0.019,
|
950 |
+
"rewards/accuracies": 1.0,
|
951 |
+
"rewards/chosen": -0.0770476832985878,
|
952 |
+
"rewards/margins": 5.943432807922363,
|
953 |
+
"rewards/rejected": -6.020480155944824,
|
954 |
+
"step": 620
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 5.0,
|
958 |
+
"step": 625,
|
959 |
+
"total_flos": 0.0,
|
960 |
+
"train_loss": 0.11420744479894639,
|
961 |
+
"train_runtime": 7032.7914,
|
962 |
+
"train_samples_per_second": 5.688,
|
963 |
+
"train_steps_per_second": 0.089
|
964 |
+
}
|
965 |
+
],
|
966 |
+
"logging_steps": 10,
|
967 |
+
"max_steps": 625,
|
968 |
+
"num_input_tokens_seen": 0,
|
969 |
+
"num_train_epochs": 5,
|
970 |
+
"save_steps": 1000,
|
971 |
+
"stateful_callbacks": {
|
972 |
+
"TrainerControl": {
|
973 |
+
"args": {
|
974 |
+
"should_epoch_stop": false,
|
975 |
+
"should_evaluate": false,
|
976 |
+
"should_log": false,
|
977 |
+
"should_save": true,
|
978 |
+
"should_training_stop": true
|
979 |
+
},
|
980 |
+
"attributes": {}
|
981 |
+
}
|
982 |
+
},
|
983 |
+
"total_flos": 0.0,
|
984 |
+
"train_batch_size": 4,
|
985 |
+
"trial_name": null,
|
986 |
+
"trial_params": null
|
987 |
+
}
|