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multilingual-sentiment-analysis-amazon-reviews-1
Draconiel/multilingual-sentiment-analysis-amazon-reviews-1
multilingual-sentiment-analysis-amazon-reviews-1 is a text classification model from Draconiel. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- distilbert
- Access
- Public
- Created
- Feb 25, 2026
- Updated
- Feb 27, 2026
- SHA
- e5d83911
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
multilingual-sentiment-analysis-amazon-reviews-1
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: 4.0484
- Model Preparation Time: 0.001
- Accuracy: 0.5244
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy |
|---|---|---|---|---|---|
| 0.9752 | 1.0 | 12500 | 0.9886 | 0.001 | 0.5626 |
| 0.9062 | 2.0 | 25000 | 0.9712 | 0.001 | 0.5658 |
| 0.9010 | 3.0 | 37500 | 1.0108 | 0.001 | 0.553 |
| 0.7846 | 4.0 | 50000 | 1.0425 | 0.001 | 0.5588 |
| 0.7142 | 5.0 | 62500 | 1.1307 | 0.001 | 0.5486 |
| 0.6715 | 6.0 | 75000 | 1.2057 | 0.001 | 0.5422 |
| 0.6154 | 7.0 | 87500 | 1.2781 | 0.001 | 0.535 |
| 0.5207 | 8.0 | 100000 | 1.4082 | 0.001 | 0.5296 |
| 0.4441 | 9.0 | 112500 | 1.5190 | 0.001 | 0.5306 |
| 0.3843 | 10.0 | 125000 | 1.7743 | 0.001 | 0.5332 |
| 0.3020 | 11.0 | 137500 | 1.8859 | 0.001 | 0.526 |
| 0.2857 | 12.0 | 150000 | 2.0707 | 0.001 | 0.5276 |
| 0.2469 | 13.0 | 162500 | 2.2365 | 0.001 | 0.5242 |
| 0.2383 | 14.0 | 175000 | 2.5762 | 0.001 | 0.5268 |
| 0.1845 | 15.0 | 187500 | 2.8199 | 0.001 | 0.5274 |
| 0.1327 | 16.0 | 200000 | 3.1872 | 0.001 | 0.5256 |
| 0.1677 | 17.0 | 212500 | 3.4389 | 0.001 | 0.5304 |
| 0.1406 | 18.0 | 225000 | 3.6391 | 0.001 | 0.5336 |
| 0.1218 | 19.0 | 237500 | 3.9530 | 0.001 | 0.5284 |
| 0.1325 | 20.0 | 250000 | 4.0484 | 0.001 | 0.5244 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.12.0.dev20260224+cu128
- Datasets 3.6.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- cc-by-nc-4.0
- Created
- Feb 25, 2026
- Updated
- Feb 27, 2026