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IMDBSentimentAnalysisLoRaBertUncased
LeonardBongard/IMDBSentimentAnalysisLoRaBertUncased
IMDBSentimentAnalysisLoRaBertUncased is a text classification model from LeonardBongard. Use it when you need a label for a piece of text. It is set up for transformers.
- Model: bert-base-uncased - Architecture: ['BertForSequenceClassification'] - Training Parameters: - Epochs: 3 - Batch Size: 16 - Learning Rate: 3.757374065772398e-05 - Weight Decay: 0.15233987118417686 - LoRA Parame…
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025
- SHA
- b530aefc
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Base models
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Model card
From the Hugging Face model README
bert Model Card
Model Details
- Model: bert-base-uncased
- Architecture: ['BertForSequenceClassification']
- Training Parameters:
- Epochs: 3
- Batch Size: 16
- Learning Rate: 3.757374065772398e-05
- Weight Decay: 0.15233987118417686
- LoRA Parameters:
- r: 13
- alpha: 64
- dropout: 0.1
- Evaluation Metrics:
- Accuracy: 0.94116
- F1 Score: 0.9411596941245539
- Dataset: IMDb
- Task: Sentiment Analysis
Intended Use and Limitations
This model is fine-tuned for text classification. Use with caution for out-of-scope tasks.
Training Data
The model was fine-tuned on the specified dataset.
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Apr 8, 2025
- Updated
- Apr 8, 2025