Files changed (1) hide show
  1. README.md +18 -1
README.md CHANGED
@@ -1,3 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ## TextAttack Model Card
2
  This `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
3
  and the glue dataset loaded using the `nlp` library. The model was fine-tuned
@@ -7,4 +24,4 @@ Since this was a classification task, the model was trained with a cross-entropy
7
  The best score the model achieved on this task was 0.8970588235294118, as measured by the
8
  eval set accuracy, found after 4 epochs.
9
 
10
- For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).
 
1
+ ---
2
+ license: apache-2.0
3
+ datasets:
4
+ - openai/webgpt_comparisons
5
+ metrics:
6
+ - bleu
7
+ library_name: flair
8
+ pipeline_tag: zero-shot-image-classification
9
+ tags:
10
+ - chemistry
11
+ - biomedical
12
+ - finance
13
+ - legal
14
+ - science
15
+ - waifu-diffusion
16
+ - music
17
+ ---
18
  ## TextAttack Model Card
19
  This `albert-base-v2` model was fine-tuned for sequence classification using TextAttack
20
  and the glue dataset loaded using the `nlp` library. The model was fine-tuned
 
24
  The best score the model achieved on this task was 0.8970588235294118, as measured by the
25
  eval set accuracy, found after 4 epochs.
26
 
27
+ For more information, check out [TextAttack on Github](https://github.com/QData/TextAttack).