Text Classification
Transformers
Safetensors
English
deberta-v2
multi-label-classification
chat
message-enrichment
group-chat
deberta-v3
community-analytics
Eval Results (legacy)
text-embeddings-inference
Instructions to use eladlaor/chat-message-tagger-deberta-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eladlaor/chat-message-tagger-deberta-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="eladlaor/chat-message-tagger-deberta-v3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("eladlaor/chat-message-tagger-deberta-v3") model = AutoModelForSequenceClassification.from_pretrained("eladlaor/chat-message-tagger-deberta-v3") - Notebooks
- Google Colab
- Kaggle
| { | |
| "mean_f1": 0.5979, | |
| "mean_auc_roc": 0.8826, | |
| "hamming_loss": 0.1231, | |
| "subset_accuracy": 0.193, | |
| "mean_ece": 0.1362, | |
| "per_label_f1": { | |
| "professional": 0.839, | |
| "question": 0.8889, | |
| "experience_sharing": 0.6308, | |
| "resource": 0.7458, | |
| "opinion": 0.6257, | |
| "how_to": 0.5302, | |
| "humor": 0.3471, | |
| "announcement": 0.7227, | |
| "off_group_topic": 0.2581, | |
| "reaction": 0.7247, | |
| "substantive": 0.7866, | |
| "discussion_init": 0.7061, | |
| "emotional": 0.4371, | |
| "disagreement": 0.1231, | |
| "positive_reinforcement": 0.6034 | |
| }, | |
| "per_label_precision": { | |
| "professional": 0.819, | |
| "question": 0.9704, | |
| "experience_sharing": 0.5836, | |
| "resource": 0.7586, | |
| "opinion": 0.5327, | |
| "how_to": 0.4702, | |
| "humor": 0.3621, | |
| "announcement": 0.6825, | |
| "off_group_topic": 0.2963, | |
| "reaction": 0.6887, | |
| "substantive": 0.8542, | |
| "discussion_init": 0.6773, | |
| "emotional": 0.3976, | |
| "disagreement": 0.0833, | |
| "positive_reinforcement": 0.5806 | |
| }, | |
| "per_label_recall": { | |
| "professional": 0.86, | |
| "question": 0.82, | |
| "experience_sharing": 0.6862, | |
| "resource": 0.7333, | |
| "opinion": 0.7581, | |
| "how_to": 0.6077, | |
| "humor": 0.3333, | |
| "announcement": 0.7679, | |
| "off_group_topic": 0.2286, | |
| "reaction": 0.7647, | |
| "substantive": 0.7289, | |
| "discussion_init": 0.7375, | |
| "emotional": 0.4853, | |
| "disagreement": 0.2353, | |
| "positive_reinforcement": 0.6279 | |
| }, | |
| "per_label_auc_roc": { | |
| "professional": 0.8823, | |
| "question": 0.9771, | |
| "experience_sharing": 0.8437, | |
| "resource": 0.9282, | |
| "opinion": 0.8527, | |
| "how_to": 0.8442, | |
| "humor": 0.7916, | |
| "announcement": 0.9688, | |
| "off_group_topic": 0.7533, | |
| "reaction": 0.9501, | |
| "substantive": 0.9631, | |
| "discussion_init": 0.8702, | |
| "emotional": 0.8524, | |
| "disagreement": 0.8888, | |
| "positive_reinforcement": 0.8732 | |
| }, | |
| "per_label_threshold": { | |
| "professional": 0.35, | |
| "question": 0.8, | |
| "experience_sharing": 0.6, | |
| "resource": 0.6, | |
| "opinion": 0.55, | |
| "how_to": 0.65, | |
| "humor": 0.75, | |
| "announcement": 0.75, | |
| "off_group_topic": 0.75, | |
| "reaction": 0.75, | |
| "substantive": 0.8, | |
| "discussion_init": 0.55, | |
| "emotional": 0.75, | |
| "disagreement": 0.25, | |
| "positive_reinforcement": 0.8 | |
| }, | |
| "per_label_support": { | |
| "professional": 500, | |
| "question": 200, | |
| "experience_sharing": 239, | |
| "resource": 180, | |
| "opinion": 215, | |
| "how_to": 130, | |
| "humor": 63, | |
| "announcement": 56, | |
| "off_group_topic": 35, | |
| "reaction": 136, | |
| "substantive": 225, | |
| "discussion_init": 259, | |
| "emotional": 68, | |
| "disagreement": 17, | |
| "positive_reinforcement": 86 | |
| }, | |
| "per_label_ece": { | |
| "professional": 0.0736, | |
| "question": 0.0818, | |
| "experience_sharing": 0.1342, | |
| "resource": 0.0957, | |
| "opinion": 0.1442, | |
| "how_to": 0.2161, | |
| "humor": 0.2351, | |
| "announcement": 0.0974, | |
| "off_group_topic": 0.1775, | |
| "reaction": 0.1241, | |
| "substantive": 0.0569, | |
| "discussion_init": 0.1084, | |
| "emotional": 0.1958, | |
| "disagreement": 0.0785, | |
| "positive_reinforcement": 0.2234 | |
| }, | |
| "total_samples": 824 | |
| } |