ZhangShenao commited on
Commit
66e7346
1 Parent(s): cb65242

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +33 -18
README.md CHANGED
@@ -1,47 +1,62 @@
1
  ---
2
- license: llama3
3
- base_model: ZhangShenao/0.0001_1SELM_Llama_iter_2
4
  tags:
5
  - alignment-handbook
6
- - trl
7
  - dpo
8
- - generated_from_trainer
9
  - trl
10
- - dpo
11
- - generated_from_trainer
12
  datasets:
13
- - updated
14
- - original
15
  model-index:
16
- - name: 0.0001_1SELM_Llama_iter_3
17
  results: []
18
  ---
19
 
 
 
20
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
21
  should probably proofread and complete it, then remove this comment. -->
22
 
23
- # 0.0001_1SELM_Llama_iter_3
24
 
25
- This model is a fine-tuned version of [ZhangShenao/0.0001_1SELM_Llama_iter_2](https://huggingface.co/ZhangShenao/0.0001_1SELM_Llama_iter_2) on the updated and the original datasets.
 
 
 
 
 
 
 
 
 
 
 
26
 
27
  ## Model description
28
 
29
- More information needed
30
 
31
- ## Intended uses & limitations
32
 
33
- More information needed
 
 
 
 
 
 
34
 
35
- ## Training and evaluation data
36
 
37
- More information needed
 
 
 
 
38
 
39
- ## Training procedure
40
 
41
  ### Training hyperparameters
42
 
43
  The following hyperparameters were used during training:
44
- - learning_rate: 1e-07
 
45
  - train_batch_size: 4
46
  - eval_batch_size: 4
47
  - seed: 42
 
1
  ---
2
+ license: mit
3
+ base_model: ZhangShenao/SELM-Llama-3-8B-Instruct-iter-2
4
  tags:
5
  - alignment-handbook
 
6
  - dpo
 
7
  - trl
8
+ - selm
 
9
  datasets:
10
+ - HuggingFaceH4/ultrafeedback_binarized
 
11
  model-index:
12
+ - name: SELM-Llama-3-8B-Instruct-iter-3
13
  results: []
14
  ---
15
 
16
+
17
+
18
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
19
  should probably proofread and complete it, then remove this comment. -->
20
 
 
21
 
22
+
23
+ Self-Exploring Language Models: Active Preference Elicitation for Online Alignment.
24
+
25
+
26
+
27
+ # SELM-Llama-3-8B-Instruct-iter-3
28
+
29
+
30
+
31
+ This model is a fine-tuned version of [ZhangShenao/SELM-Llama-3-8B-Instruct-iter-2](https://huggingface.co/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-2) using synthetic data based on on the HuggingFaceH4/ultrafeedback_binarized dataset.
32
+
33
+
34
 
35
  ## Model description
36
 
 
37
 
 
38
 
39
+ - Model type: A 8B parameter Llama3-based Self-Exploring Language Models (SELM).
40
+ - License: MIT
41
+
42
+
43
+
44
+ ## Results
45
+
46
 
 
47
 
48
+ |                                        | AlpacaEval 2.0 (LC WR) | MT-Bench (Average) |
49
+ |----------------------------------------|------------------------|--------------------|
50
+ | [SELM-Llama-3-8B-Instruct-iter-3](https://huggingface.co/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-3) |     &emsp; &emsp; &emsp;&emsp;        33.47         |  &emsp; &emsp; &emsp;         8.29       |
51
+ | [SELM-Llama-3-8B-Instruct-iter-2](https://huggingface.co/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-2) |    &emsp; &emsp; &emsp;&emsp;         35.65         |  &emsp; &emsp; &emsp;          8.09      |
52
+ | [SELM-Llama-3-8B-Instruct-iter-1](https://huggingface.co/ZhangShenao/SELM-Llama-3-8B-Instruct-iter-1) |    &emsp; &emsp; &emsp;&emsp;         32.02         |   &emsp; &emsp; &emsp;         7.89         |
53
 
 
54
 
55
  ### Training hyperparameters
56
 
57
  The following hyperparameters were used during training:
58
+ - alpha: 0.0001
59
+ - beta: 0.01
60
  - train_batch_size: 4
61
  - eval_batch_size: 4
62
  - seed: 42