This
albert-base-v2
model was fine-tuned for sequence classification using TextAttack
and the imdb dataset loaded using the
nlp
library. The model was fine-tuned
for 5 epochs with a batch size of 32, a learning
rate of 2e-05, and a maximum sequence length of 128.
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 0.89236, as measured by the
eval set accuracy, found after 3 epochs.
Runs of textattack albert-base-v2-imdb on huggingface.co
897
Total runs
0
24-hour runs
30
3-day runs
49
7-day runs
394
30-day runs
More Information About albert-base-v2-imdb huggingface.co Model
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