codewithkyrian commited on
Commit
2a2a5c7
·
verified ·
1 Parent(s): 8ba0706

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +22 -0
README.md ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: Transformers PHP
3
+ tags:
4
+ - onnx
5
+ ---
6
+
7
+ https://huggingface.co/textattack/bert-base-uncased-rotten-tomatoes with ONNX weights to be compatible with Transformers PHP
8
+
9
+ ## TextAttack Model Card
10
+ This `bert-base-uncased` model was fine-tuned for sequence classificationusing TextAttack
11
+ and the rotten_tomatoes dataset loaded using the `nlp` library. The model was fine-tuned
12
+ for 10 epochs with a batch size of 16, a learning
13
+ rate of 2e-05, and a maximum sequence length of 128.
14
+ Since this was a classification task, the model was trained with a cross-entropy loss function.
15
+ The best score the model achieved on this task was 0.875234521575985, as measured by the
16
+ eval set accuracy, found after 4 epochs.
17
+
18
+ For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
19
+
20
+ ---
21
+
22
+ Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using [🤗 Optimum](https://huggingface.co/docs/optimum/index) and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).