uzroberta-sentiment-analysis
This model is a fine-tuned version of rifkat/uztext-3Gb-BPE-Roberta on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0473
- Accuracy: 0.8257
- F1: 0.8287
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: 2e-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
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3411 | 1.0 | 1156 | 0.4061 | 0.8276 | 0.8303 |
| 0.2319 | 2.0 | 2312 | 0.4074 | 0.8336 | 0.8359 |
| 0.1629 | 3.0 | 3468 | 0.5250 | 0.8394 | 0.8416 |
| 0.1082 | 4.0 | 4624 | 0.8780 | 0.8180 | 0.8219 |
| 0.0712 | 5.0 | 5780 | 0.9741 | 0.8321 | 0.8349 |
| 0.0537 | 6.0 | 6936 | 1.0473 | 0.8257 | 0.8287 |
Framework versions
- Transformers 4.27.3
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.12.1
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