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V2_20230929-10-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: 0.5096
- Loss: 2.4163
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 |
|---|---|---|---|---|
| 4.2884 | 1.38 | 200 | 0.2958 | 4.0095 |
| 3.8429 | 2.76 | 400 | 0.3650 | 3.7295 |
| 3.5677 | 4.14 | 600 | 0.4377 | 3.2236 |
| 3.3967 | 5.52 | 800 | 0.4311 | 3.0356 |
| 3.3011 | 6.9 | 1000 | 0.4883 | 2.9507 |
| 3.073 | 8.28 | 1200 | 0.4906 | 2.7251 |
| 2.9435 | 9.66 | 1400 | 0.4484 | 2.9997 |
| 2.9574 | 11.03 | 1600 | 0.4580 | 2.6966 |
| 2.8692 | 12.41 | 1800 | 0.5356 | 2.5604 |
| 2.7694 | 13.79 | 2000 | 0.5096 | 2.4163 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
