sweep-lr5e5-wd001
This model was selected as the best checkpoint from a hyperparameter sweep.
Model Architecture
Training Configuration
| Parameter | Value |
|---|---|
| learning_rate | 5e-05 |
| weight_decay | 0.001 |
| epochs | 30 |
| batch_size | 16 |
| model_arch | deberta-v3-base |
Evaluation Metrics
| Metric | Value |
|---|---|
| val_loss | 0.198 |
| val_accuracy | 0.934 |
| f1_score | 0.921 |
| inference_latency_ms | 14.2 |
Training Loss Curve
Usage
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("BestSweepModel-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("BestSweepModel-TestRepo")
License
This model is released under the MIT License.
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