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distilbert-base-uncased-BERT-POET4
jfforero/distilbert-base-uncased-BERT-POET4
distilbert-base-uncased-BERT-POET4 is a machine learning model from jfforero. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of distilbert-base-uncased for sentiment analysis.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Access
- Public
- Created
- Apr 19, 2024
- Updated
- Feb 26, 2025
- SHA
- 982498d4
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Base models
Model card
From the Hugging Face model README
jfforero/distilbert-base-uncased-BERT-POET4
This model is a fine-tuned version of distilbert-base-uncased for sentiment analysis.
Model description
This model is trained for sentiment classification with three labels: positive, neutral, and negative. It is based on DistilBERT, a lighter and faster version of BERT.
Intended uses & limitations
Intended Use
- Sentiment classification of short texts, such as product reviews or social media posts.
- Designed for English-language input.
Limitations
- May struggle with sarcasm or complex irony.
- Performance depends on training data quality.
Training and evaluation data
- Fine-tuned on [Dataset Name] (if available, add link).
- Contains X training samples and Y validation samples.
Training procedure
Training hyperparameters
- Optimizer: AdamW
- Learning Rate: 2e-5
- Batch Size: X
- Epochs: Y
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| X.XXXX | Y.YYYY | Z |
Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.19.0
- Tokenizers 0.15.2
- Library
- transformers
- License
- apache-2.0
- Created
- Apr 19, 2024
- Updated
- Feb 26, 2025