Update README.md

README.md

@@ -60,7 +60,7 @@ Then you can load this model and run inference.
 from setfit import SetFitModel
 
 # Download from the 🤗 Hub
-model = SetFitModel.from_pretrained("setfit_model_id")
+model = SetFitModel.from_pretrained("NLBSE/nlbse26_python")
 # Run inference
 preds = model("table. | PlotAccessor")
 ```
@@ -89,41 +89,6 @@ preds = model("table. | PlotAccessor")
 *What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
 -->
 
-## Training Details
-
-### Training Set Metrics
-| Training set | Min | Median | Max |
-|:-------------|:----|:-------|:----|
-| Word count   | 3   | 8.9868 | 28  |
-
-### Training Hyperparameters
-- batch_size: (32, 32)
-- num_epochs: (10, 10)
-- max_steps: -1
-- sampling_strategy: oversampling
-- num_iterations: 20
-- body_learning_rate: (2e-05, 1e-05)
-- head_learning_rate: 0.01
-- loss: CosineSimilarityLoss
-- distance_metric: cosine_distance
-- margin: 0.25
-- end_to_end: False
-- use_amp: False
-- warmup_proportion: 0.1
-- l2_weight: 0.01
-- seed: 42
-- eval_max_steps: -1
-- load_best_model_at_end: False
-
-### Framework Versions
-- Python: 3.10.8
-- SetFit: 1.1.2
-- Sentence Transformers: 5.0.0
-- Transformers: 4.54.1
-- PyTorch: 2.7.1+cu126
-- Datasets: 3.6.0
-- Tokenizers: 0.21.4
-
 ## Citation
 
 ### BibTeX