# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Arro94/nova-model-benchmark")
model = AutoModelForSequenceClassification.from_pretrained("Arro94/nova-model-benchmark")Quick Links
Scores (avg. weighted)
- Accuracy: 0.9007633587786259
- Precision: 0.9008606422369183
- Recall: 0.9007633587786259
- F1: 0.9007595035560719
Hyperparams
- Max Seq Len: 45
- Batch Size: 16
- Learning Rate: 2e-5
- Epochs: 5
- Warmup Steps: 147
- Weight Decay: 0.01
- Save/Eval Strat: epoch
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arro94/nova-model-benchmark")