Arunavaonly/Bangla-twoclass-Sentiment-Analyzer
text classificationtransformerstransformerspytorchtensorboardsafetensorsxlm-robertatext-classificationmit
HuggingFace106.4K
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: 2.7755
- F1: 0.6113
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 2.53 | 200 | 0.9869 | 0.4635 |
| No log | 5.06 | 400 | 0.8978 | 0.5858 |
| 0.8692 | 7.59 | 600 | 1.1978 | 0.6149 |
| 0.8692 | 10.13 | 800 | 1.5145 | 0.6112 |
| 0.3138 | 12.66 | 1000 | 2.0353 | 0.6041 |
| 0.3138 | 15.19 | 1200 | 2.4316 | 0.6203 |
| 0.3138 | 17.72 | 1400 | 2.6025 | 0.6002 |
| 0.0769 | 20.25 | 1600 | 2.6247 | 0.6082 |
| 0.0769 | 22.78 | 1800 | 2.7755 | 0.6113 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2