This
albert-base-v2
model was fine-tuned for sequence classification using TextAttack
and the glue dataset loaded using the
nlp
library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 3e-05, and a maximum sequence length of 64.
Since this was a classification task, the model was trained with a cross-entropy loss function.
The best score the model achieved on this task was 0.9254587155963303, as measured by the
eval set accuracy, found after 2 epochs.
Runs of textattack albert-base-v2-SST-2 on huggingface.co
367
Total runs
-11
24-hour runs
14
3-day runs
-20
7-day runs
-417
30-day runs
More Information About albert-base-v2-SST-2 huggingface.co Model
albert-base-v2-SST-2 huggingface.co
albert-base-v2-SST-2 huggingface.co is an AI model on huggingface.co that provides albert-base-v2-SST-2's model effect (), which can be used instantly with this textattack albert-base-v2-SST-2 model. huggingface.co supports a free trial of the albert-base-v2-SST-2 model, and also provides paid use of the albert-base-v2-SST-2. Support call albert-base-v2-SST-2 model through api, including Node.js, Python, http.
albert-base-v2-SST-2 huggingface.co is an online trial and call api platform, which integrates albert-base-v2-SST-2's modeling effects, including api services, and provides a free online trial of albert-base-v2-SST-2, you can try albert-base-v2-SST-2 online for free by clicking the link below.
textattack albert-base-v2-SST-2 online free url in huggingface.co:
albert-base-v2-SST-2 is an open source model from GitHub that offers a free installation service, and any user can find albert-base-v2-SST-2 on GitHub to install. At the same time, huggingface.co provides the effect of albert-base-v2-SST-2 install, users can directly use albert-base-v2-SST-2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
albert-base-v2-SST-2 install url in huggingface.co: