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V3_20230929-8-xlm-roberta-base-new
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.5495
- Loss: 2.3018
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 4.1769 | 1.82 | 200 | 0.3506 | 3.4849 |
| 3.5897 | 3.64 | 400 | 0.3699 | 3.2647 |
| 3.3581 | 5.45 | 600 | 0.4158 | 3.2254 |
| 3.1319 | 7.27 | 800 | 0.4496 | 2.8081 |
| 3.0084 | 9.09 | 1000 | 0.4484 | 2.8294 |
| 2.8681 | 10.91 | 1200 | 0.4910 | 2.5505 |
| 2.7496 | 12.73 | 1400 | 0.5362 | 2.3569 |
| 2.6617 | 14.55 | 1600 | 0.5327 | 2.6322 |
| 2.6804 | 16.36 | 1800 | 0.5186 | 2.4814 |
| 2.6267 | 18.18 | 2000 | 0.5307 | 2.6404 |
| 2.5777 | 20.0 | 2200 | 0.5495 | 2.3018 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
