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xlm_2
This model is a fine-tuned version of classla/xlm-roberta-base-multilingual-text-genre-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4441
- Accuracy: 0.8746
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.02 | 200 | 0.4441 | 0.8746 |
| No log | 0.05 | 400 | 0.6870 | 0.5556 |
| 0.6128 | 0.07 | 600 | 0.6872 | 0.5556 |
| 0.6128 | 0.09 | 800 | 0.6870 | 0.5556 |
| 0.6922 | 0.12 | 1000 | 0.6881 | 0.5556 |
| 0.6922 | 0.14 | 1200 | 0.6873 | 0.5556 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
