pszemraj commited on
Commit
b2edf13
1 Parent(s): 0020d84

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +8 -15
README.md CHANGED
@@ -5,7 +5,7 @@ tags:
5
  datasets:
6
  - Gustavosta/Stable-Diffusion-Prompts
7
  model-index:
8
- - name: neo-125M-promptgen-v1-act
9
  results: []
10
  widget:
11
  - text: "morning sun over Jakarta"
@@ -17,34 +17,27 @@ widget:
17
  - text: "cheeps are"
18
  example_title: "cheeps"
19
  parameters:
20
- min_length: 16
21
  max_length: 64
22
  no_repeat_ngram_size: 1
23
  do_sample: True
24
- temperature: 1.1
25
- top_k: 60
26
  top_p: 0.95
27
- repetition_penalty: 7.3
28
  ---
29
 
30
- # neo-125M-promptgen-v1-act
 
 
31
 
32
  This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the Gustavosta/Stable-Diffusion-Prompts dataset.
33
  It achieves the following results on the evaluation set:
34
  - Loss: 1.8875
35
  - perplexity: 6.6028
36
 
37
- ## Model description
38
-
39
- More information needed
40
-
41
- ## Intended uses & limitations
42
-
43
- More information needed
44
-
45
  ## Training and evaluation data
46
 
47
- More information needed
48
 
49
  ## Training procedure
50
 
 
5
  datasets:
6
  - Gustavosta/Stable-Diffusion-Prompts
7
  model-index:
8
+ - name: gpt-neo-125M-magicprompt-SD
9
  results: []
10
  widget:
11
  - text: "morning sun over Jakarta"
 
17
  - text: "cheeps are"
18
  example_title: "cheeps"
19
  parameters:
20
+ min_length: 32
21
  max_length: 64
22
  no_repeat_ngram_size: 1
23
  do_sample: True
24
+ top_k: 50
 
25
  top_p: 0.95
26
+ repetition_penalty: 5.5
27
  ---
28
 
29
+ # gpt-neo-125M-magicprompt-SD
30
+
31
+ Generate/augment your prompt, stable diffusion style.
32
 
33
  This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on the Gustavosta/Stable-Diffusion-Prompts dataset.
34
  It achieves the following results on the evaluation set:
35
  - Loss: 1.8875
36
  - perplexity: 6.6028
37
 
 
 
 
 
 
 
 
 
38
  ## Training and evaluation data
39
 
40
+ refer to the `Gustavosta/Stable-Diffusion-Prompts` dataset.
41
 
42
  ## Training procedure
43