Text Classification
Transformers
TensorBoard
ONNX
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use aimanfadillah/matching-buyback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aimanfadillah/matching-buyback with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aimanfadillah/matching-buyback")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aimanfadillah/matching-buyback") model = AutoModelForSequenceClassification.from_pretrained("aimanfadillah/matching-buyback") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Text Classification
Validation Metrics
loss: 3.0925960540771484
f1_macro: 0.2675876194485524
f1_micro: 0.5051039697542533
f1_weighted: 0.4266553262031796
precision_macro: 0.2522810784129609
precision_micro: 0.5051039697542533
precision_weighted: 0.40593727556638787
recall_macro: 0.33
recall_micro: 0.5051039697542533
recall_weighted: 0.5051039697542533
accuracy: 0.5051039697542533
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Model tree for aimanfadillah/matching-buyback
Base model
distilbert/distilbert-base-uncased