models
This model is a fine-tuned version of tabularisai/multilingual-sentiment-analysis on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.0935
- Accuracy: 0.5621
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.795 | 1.0 | 612 | 2.1355 | 0.4118 |
| 1.9349 | 2.0 | 1224 | 1.9007 | 0.5098 |
| 1.4273 | 3.0 | 1836 | 1.8531 | 0.4771 |
| 1.1468 | 4.0 | 2448 | 1.9540 | 0.5490 |
| 0.5264 | 5.0 | 3060 | 2.3194 | 0.5556 |
| 0.3715 | 6.0 | 3672 | 2.4709 | 0.5686 |
| 0.3075 | 7.0 | 4284 | 2.8005 | 0.5556 |
| 0.2411 | 8.0 | 4896 | 2.9736 | 0.5490 |
| 0.1735 | 9.0 | 5508 | 3.0577 | 0.5621 |
| 0.1708 | 10.0 | 6120 | 3.0935 | 0.5621 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
- Downloads last month
- 55
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.