Note that the keras dataset is already tokenized, so the model doesn't have an associated tokenizer. Since the hosted text classification pipeline only accepts text as input, it is currently broken.
For a live demo of the model using my own tokenizer, please use the
space
Training hyperparameters
The following hyperparameters were used during training:
name
learning_rate
decay
beta_1
beta_2
epsilon
amsgrad
training_precision
Adam
0.0010000000474974513
0.0
0.8999999761581421
0.9990000128746033
1e-07
False
float32
Training Metrics
Epochs
Train Loss
Train Accuracy
Validation Loss
Validation Accuracy
1
0.385
0.819
0.298
0.868
2
0.198
0.925
0.333
0.863
Model Plot
View Model Plot
Runs of keras-io text-classification-with-transformer on huggingface.co
25
Total runs
0
24-hour runs
-1
3-day runs
-5
7-day runs
-8
30-day runs
More Information About text-classification-with-transformer huggingface.co Model
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