metadata
license: cc-by-3.0
datasets:
- stanfordnlp/imdb
language:
- en
metrics:
- accuracy
model structure:
Input Text | Custom Tokenizer (Text -> Tokens) | Padding (Equal Length Sequences) | Embedding Layer (Tokens -> Dense Vectors) | LSTM Layer (Capture Sequential Patterns) | Attention Mechanism (Focus on Important Tokens) | Dense Layer (Fully Connected) | Softmax Activation (Output: Positive or Negative Sentiment)
it archieved 95.71% accuracy on the dataset provided