YueranCao2001/distilbert-imdb-sentiment-v3
text-classification model by YueranCao2001
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Model card & documentation
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This model is a fine-tuned version of distilbert/distilbert-base-uncased for binary sentiment classification of English movie reviews. It was developed as an independent Hugging Face learning project, covering dataset preparation, tokenization, fine-tuning, checkpoint selection, evaluation, and model publishing. The model predicts two sentiment labels: Dataset: IMDb Movie Reviews The training and validation samples were drawn from the official IMDb training split. The training and validation datasets were balanced across positive and negative classes. The test subset was sampled from the official IMDb test split, with 100 examples per class. The model was trained using Hugging Face Transformers and PyTorch. Confusion matrix: These results are based on a small, balanced subset of the…
Read the full model card ↗ · Preview checked 2026-10-28T23:34:45.428Z
Inside the original model card — Document outline
- DistilBERT IMDb Sentiment Classifier (V3)
- Model Description
- Training Dataset
- Training Configuration
- Evaluation Results
- Validation Results
- IMDb Test Subset (200 Samples)
- Usage
- Limitations
- License
- Project Scope
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
YueranCao2001/distilbert-imdb-sentiment-v3 is a text-classification model repository published by YueranCao2001 on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- transformers
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 66,955,010
- Architecture
- DistilBertForSequenceClassification
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-09T06:22:10.000Z
- Last modified
- 2026-10-09T06:22:52.000Z
Compatibility and lineage
Reported languages: en
Reported base models: distilbert/distilbert-base-uncased
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-09T06:40:49.674Z. Daily imports are snapshots, not real-time monitoring.
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