Comments (1)
Sorry,I missed the appendix. According to the details in appendixD, I retrain the model with some parameters changed,and here is the results, there is still a margin, but very close, maybe I still missed somethings.
acc-p0: 0.818859649122807 +- 0.02375440378086349
acc-p1: 0.8622368421052632 +- 0.011842105263157876
acc-p2: 0.8199122807017544 +- 0.044753157499628125
acc-p3: 0.7920175438596491 +- 0.01292178509375676
acc-p4: 0.8303508771929825 +- 0.032106970762756155
acc-all-p: 0.8246754385964913 +- 0.03328311578066454
from pet.
Related Issues (20)
- Training Time Issue HOT 4
- GenPET commands with GPT-2 HOT 2
- RuntimeError on eval method HOT 2
- Token indices sequence length is longer than the specified maximum sequence length for this model HOT 2
- PET and iPET parameters
- Random seed parameter for iterations
- Data format for few-shot text classification
- Roberta-large using BPE tokenizer generates multi tokens. HOT 6
- API Usage
- How much test data do you use in your experiments?
- How to training PET model uses xlm-roberta with byte-level Byte-Pair-Encoding?
- Clarification on how to interpret PET's results HOT 2
- A question about “Automatically Identifying Words That Can Serve as Labels for Few-Shot Text Classification”
- RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)` HOT 3
- OSError: Model name 'clue/albert_chinese_tiny' was not found in tokenizers model name list HOT 2
- TypeError: expected str, bytes or os.PathLike object, not NoneType HOT 1
- ZeroDivisionError when reduction is set to 'wmean' while training iPET HOT 1
- Stuck at 'There are 0 Examples for Label [my_label]' During iPETs Example Selection for Next Generation
- There is no softmax
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pet.