add hyperparameters

README.md

@@ -106,7 +106,11 @@ The model was trained locally on a single-node with one 16GB Nvidia T4 using
 
 #### Training Hyperparameters
 
-- **Training regime:** We use FP32 precision, as follows immediately from the precision inhereted for the original "DistilBERT/distilbert-base-uncased" model.
+- **Precision:** We use FP32 precision, as follows immediately from the precision inhereted for the original "DistilBERT/distilbert-base-uncased" model.
+- **Optimizer:** AdamW
+- **Learning Rate:** We use a linear learing rate scheduler with an initial learning rate of 5e-5
+- **Batch Size:** 32
+- **Number of Training Steps**: 2877 steps over the course of 3 epochs
 
 
 ## Evaluation / Metrics