# logasanjeev/bert-emotion-classifier

Model from Hugging Face for text classification: logasanjeev/bert-emotion-classifier · transformers

## Facts

- Type: LLM
- Task: text-classification
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://huggingface.co/logasanjeev/bert-emotion-classifier/blob/main/LICENSE)
- Source: https://huggingface.co/logasanjeev/bert-emotion-classifier
- Hosting: hosted (6 files)
- Files: 6 hosted of 17 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: at least 6 listed files; full count and size unknown
- Full repo upstream: 877.4 MB
- Recommended file: 438 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-logasanjeev-bert-emotion-classifier/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/download-plan)
- Per-file SHA-256: available for 4 of 6 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 2125
- Stars: 12
- Card completeness: 96%

## Description

External Hugging Face catalog record for logasanjeev/bert-emotion-classifier. Task: text classification. Library: transformers. Languages: en. Datasets referenced by card metadata: google-research-datasets/go_emotions. Includes 12 model-card evaluation signals. Popularity signal at import: 1,754 downloads and 12 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: text-classification
- Library: transformers
- Task categories: text-classification
- Languages: en
- Referenced datasets: google-research-datasets/go_emotions
- Metrics: f1, precision, recall, accuracy
- Model-index entries: Bert Emotion Classifier
- Evaluation signals: 12 model-card eval results
- File hints: 16 upstream file samples

## Evaluation Signals

- GoEmotions: Micro F1 (Optimized Thresholds) = 0.6006 (multi-label-classification)
- GoEmotions: Macro F1 = 0.539 (multi-label-classification)
- GoEmotions: Precision = 0.5371 (multi-label-classification)
- GoEmotions: Recall = 0.6812 (multi-label-classification)
- GoEmotions: Hamming Loss = 0.0377 (multi-label-classification)
- GoEmotions: Avg Positive Predictions = 1.4789 (multi-label-classification)
- GoEmotions: F1 (admiration) = 0.6987 (multi-label-classification)
- GoEmotions: F1 (amusement) = 0.8071 (multi-label-classification)
- GoEmotions: F1 (anger) = 0.503 (multi-label-classification)
- GoEmotions: F1 (annoyance) = 0.3892 (multi-label-classification)

## Referenced Data

- Dataset: google-research-datasets/go_emotions

## File Hints

- .gitattributes (1.5 KB)
- LICENSE (1.1 KB)
- README.md (15 KB)
- class_wise_f1_plot.png (45 KB)
- class_wise_metrics.csv (1.5 KB)
- config.json (2.1 KB)
- emotion_labels.json (333 B)
- inference.py (3.7 KB)
- model.onnx (418 MB) LFS
- model.safetensors (418 MB) LFS
- onnx_inference.py (3.7 KB)
- optimized_thresholds.json (947 B)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-22T13:45:17.042Z.
- Open license detected as mit.
- Model-index metadata found for Bert Emotion Classifier.
- Model card references dataset context: google-research-datasets/go_emotions.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-logasanjeev-bert-emotion-classifier
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-logasanjeev-bert-emotion-classifier
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-logasanjeev-bert-emotion-classifier&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-logasanjeev-bert-emotion-classifier/decentralized-fallbacks