Terrificfantasm/bert-base-agnews-delivered
text-classification model by Terrificfantasm
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Model card & documentation
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Selected method: fullfinetuning, epoch 3. The choice was fixed on validation data before test evaluation. This is a measured academic adaptation of BERT, not a production-validated system. 12,000 training / 2,000 internal validation / 2,000 test texts. Stratified subsets; 161 duplicate official-train rows removed before sampling. Test uses the official test split. Validation macro-F1; test accuracy and macro-F1. BERT pooled output and a linear four-class head. Truncate inputs to 128 tokens. The table preserves native scales: AG News, NER and POS metrics are in [0, 1]; QA EM/F1 are in [0, 100]. Training seconds exclude validation, saving and final evaluation. Three epochs, seed 42. AdamW: head LR 1e-3, trainable encoder LR 2e-5, weight decay 0.01, 10% linear warmup, clipping 1.0. Effective batch size 32. A partial method trains only the last two encoder layers and head; lower layers are frozen in evaluation mode. Frozen weights were checked for invariance. Full…
Read the full model card ↗ · Preview checked 2026-11-10T16:03:04.156Z
Inside the original model card — Document outline
- AG News topic classification
- Training data and evaluation
- Optimization and reproducibility
- Intended use and limitations
- Loading the delivered model
- Source terms and references
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Model overview
Terrificfantasm/bert-base-agnews-delivered is a text-classification model repository published by Terrificfantasm 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
- 109,485,316
- Architecture
- BertForSequenceClassification
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2026-09-27T06:26:09.000Z
- Last modified
- 2026-09-27T06:31:19.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google-bert/bert-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 2026-09-27T06:37:53.622Z. Daily imports are snapshots, not real-time monitoring.
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