Repository di telemetria e dati per la pipeline MLOps del modello di Sentiment Analysis (Twitter-RoBERTa). - metrics: Storico temporale dei batch di monitoraggio, andamento dell'indice F1 e distribuzione del sentiment (% Positivi, Negativi, Neutri).
Dataset Card
Repository di telemetria e dati per la pipeline MLOps del modello di Sentiment Analysis (Twitter-RoBERTa). - metrics: Storico temporale dei batch di monitoraggio, andamento dell'indice F1 e distribuzione del sentiment (% Positivi, Negativi, Neutri). - data: Buffer di accumulo e snapshot utilizzati per il retraining continuo del modello.
Excerpt from the card by GM.
Structure
metrics 59 rows
| Split | Rows | Size |
|---|---|---|
| train | 59 | 8.1 KB |
Details
- Repository
- gm84/sentiment-analysis-monitoring
- Publisher
- GM
- Task category
- Not stated by the source
- Tags
- Not stated by the source
- Size category
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- caa87ad3accc48e72f128acd20cc7fac78de433f
- Last updated
- 2026-10-19
Files
11 files, 6.6 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/latest_retrain_buffer.parquet | Data | 1.3 MB | 54bbf3a5b50c |
| data/snapshots/retrain_run_20261006_125419.parquet | Data | 123.6 KB | d5bc8b16a6d2 |
| data/snapshots/retrain_run_20261006_131405.parquet | Data | 453.9 KB | 947aa0c0534c |
| data/snapshots/retrain_run_20261006_133730.parquet | Data | 1.1 MB | 97fa3b7dd6a2 |
| data/snapshots/retrain_run_20261012_035812.parquet | Data | 575.8 KB | 7e71a1dc9a2b |
| data/snapshots/retrain_run_20261012_041426.parquet | Data | 1.3 MB | 54bbf3a5b50c |
| data/snapshots/retrain_run_20261019_030017.parquet | Data | 575.8 KB | 7e71a1dc9a2b |
| data/snapshots/retrain_run_20261019_031707.parquet | Data | 1.3 MB | 54bbf3a5b50c |
| metrics/metrics_history.csv | Data | 7.2 KB | — |
| README.md | Documentation | 675 B | — |
| .gitattributes | Repository | 2.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- No access gate
Released by GM through its official repository on Hugging Face.