appvoid commited on
Commit
5b800f1
1 Parent(s): 08cfc41

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +30 -0
README.md ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ language:
4
+ - en
5
+ pipeline_tag: text-generation
6
+ ---
7
+ ![palmer](https://huggingface.co/appvoid/palmer-001/resolve/main/palmer.jpeg)
8
+ # palmer
9
+ ### a better base model
10
+ palmer is a series of ~1b parameters language models fine-tuned to be used as base models instead of using custom prompts for tasks. This means that it can be further fine-tuned on more data with custom prompts as usual or be used for downstream tasks as any base model you can get. The model has the best of both worlds: some "bias" to act as an assistant, but also the abillity to predict the next-word from its internet knowledge base. It's a 1.1b llama 2 model so you can use it with your favorite tools/frameworks.
11
+ `palmer-002` is a 1.3b parameters model.
12
+
13
+ ### evaluation
14
+ |Model| ARC_C| HellaSwag| PIQA| Winogrande|
15
+ |------|-----|-----------|------|-------------|
16
+ |tinyllama-2t| 0.2807| 0.5463| 0.7067| 0.5683|
17
+ |palmer-001 | 0.2807| 0.5524| 0.7106| **0.5896**|
18
+ |sheared-1.3b| 0.2910| 0.5935| **0.7339**| 0.5809|
19
+ |palmer-002 | **0.3157**| **0.6022**| 0.7334| 0.5864|
20
+
21
+ ### training
22
+ Training took ~5 P100 gpu hours. It was trained on 15,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible.
23
+
24
+ ### prompt
25
+ ```
26
+ no prompt
27
+ ```
28
+
29
+ As you can notice, the model actually completes by default questions that are the most-likely to be asked, which is good because most people will use it to answer as a chatbot.
30
+ <a href="https://ko-fi.com/appvoid" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 48px !important;width: 180px !important; filter: invert(70%);" ></a>