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Bangla-Twoclass-Sentiment-Analyzer
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1624
- F1: 0.9642
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1800
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.34 | 200 | 0.3384 | 0.8842 |
| No log | 0.68 | 400 | 0.2352 | 0.9358 |
| 0.3357 | 1.02 | 600 | 0.1838 | 0.9458 |
| 0.3357 | 1.36 | 800 | 0.1768 | 0.9520 |
| 0.1794 | 1.69 | 1000 | 0.1650 | 0.9541 |
| 0.1794 | 2.03 | 1200 | 0.1629 | 0.9609 |
| 0.1794 | 2.37 | 1400 | 0.2278 | 0.9566 |
| 0.1305 | 2.71 | 1600 | 0.1633 | 0.9634 |
| 0.1305 | 3.05 | 1800 | 0.1624 | 0.9642 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
