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V2_20230929-7-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: 0.5234
- Loss: 2.6183
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 4.3266 | 1.38 | 200 | 0.3622 | 3.6841 |
| 3.8917 | 2.76 | 400 | 0.4023 | 3.4532 |
| 3.533 | 4.14 | 600 | 0.4307 | 3.0664 |
| 3.3332 | 5.52 | 800 | 0.4532 | 2.9906 |
| 3.1976 | 6.9 | 1000 | 0.4440 | 3.0366 |
| 3.0943 | 8.28 | 1200 | 0.4545 | 3.0235 |
| 2.9444 | 9.66 | 1400 | 0.5699 | 2.2568 |
| 2.9067 | 11.03 | 1600 | 0.4538 | 2.9683 |
| 2.8052 | 12.41 | 1800 | 0.4820 | 2.6102 |
| 2.807 | 13.79 | 2000 | 0.5234 | 2.6183 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
