| --- |
| 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 |
|
|
| ## 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** |
|
|
