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V3_20230929-9-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: 0.5676
- Loss: 2.0981
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 |
|---|---|---|---|---|
| 4.2315 | 1.82 | 200 | 0.3075 | 3.5449 |
| 3.7193 | 3.64 | 400 | 0.3523 | 3.3756 |
| 3.4198 | 5.45 | 600 | 0.4110 | 2.9479 |
| 3.1022 | 7.27 | 800 | 0.395 | 3.2042 |
| 3.0348 | 9.09 | 1000 | 0.4456 | 2.7974 |
| 2.835 | 10.91 | 1200 | 0.4824 | 2.5239 |
| 2.8107 | 12.73 | 1400 | 0.4806 | 2.7012 |
| 2.716 | 14.55 | 1600 | 0.4909 | 2.4907 |
| 2.6889 | 16.36 | 1800 | 0.4924 | 2.6709 |
| 2.6396 | 18.18 | 2000 | 0.5155 | 2.3913 |
| 2.6088 | 20.0 | 2200 | 0.5676 | 2.0981 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
