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roncc13
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trainCMDBERT-sample

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
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xet
 Metrics Community
How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="roncc13/trainCMDBERT-sample")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("roncc13/trainCMDBERT-sample")
model = AutoModelForSequenceClassification.from_pretrained("roncc13/trainCMDBERT-sample", device_map="auto")
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Model Trained Using AutoTrain

  • Problem type: Text Classification

Validation Metrics

loss: 0.04441085457801819

f1: 0.9523809523809523

precision: 0.9090909090909091

recall: 1.0

auc: 1.0

accuracy: 0.95

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