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+## Fine-Tuned BART-Large for Sentence Compression
+
+### Model Overview
+
+This model is a fine-tuned version of ```facebook/bart-large``` trained on the ```sentence-transformers/sentence-compression``` dataset. The goal of this model is to generate compressed versions of input sentences while maintaining fluency and meaning.
+
+### Training Details
+
+Base Model: ```facebook/bart-large```
+
+Dataset: ```sentence-transformers/sentence-compression```
+
+Batch Size: 8
+
+Epochs: 5
+
+Learning Rate: 2e-5
+
+Weight Decay: 0.01
+
+Evaluation Metric for Best Model: SARI Penalized
+
+Precision Mode: FP16 for efficient training
+
+### Evaluation Results
+
+### Validation Set Performance:
+
+SARI: 89.68
+
+SARI Penalized: 88.42
+
+ROUGE-1: 93.05
+
+ROUGE-2: 88.47
+
+ROUGE-L: 92.98
+
+### Test Set Performance:
+
+SARI: 89.76
+
+SARI Penalized: 88.32
+
+ROUGE-1: 93.14
+
+ROUGE-2: 88.65
+
+ROUGE-L: 93.07
+
+### Training Loss Curve
+
+The loss curves during training are visualized in bart-large-sentence-compression_loss.eps, showing both training and evaluation loss over steps.
+
+