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README.md

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+---
+language:
+- multilingual
+tags:
+- xlm-roberta
+- sentiment-analysis
+- text-classification
+metrics:
+- f1
+pipeline_tag: text-classification
+---
+
+# CMPE 346 - Assignment 02: Multilingual Sentiment Classification
+
+## Model Details
+- **Base Model:** xlm-roberta-large
+- **Task:** Binary sentiment classification (positive/negative)
+- **Language:** Multilingual
+
+## Training
+- **Epochs:** 3
+- **Learning Rate:** 1e-5
+- **Batch Size:** 16
+- **Max Length:** 512
+- **Weight Decay:** 0.01
+- **FP16:** True
+- **GPU:** A100
+
+## Results
+
+| Epoch | Training Loss | Validation Loss | F1     |
+|-------|--------------|-----------------|--------|
+| 1     | 0.4330       | 0.2066          | 0.9244 |
+| 2     | 0.3413       | 0.2147          | 0.9283 |
+| 3     | 0.2684       | 0.2398          | 0.9279 |
+
+**Final Validation F1 Score: 0.9282**