<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
qard-xlm-roberta-base_6
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3863
- Accuracy: 0.2535
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: 5e-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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4011 | 1.0 | 501 | 1.3863 | 0.3034 |
| 1.401 | 2.0 | 1002 | 1.3863 | 0.2754 |
| 1.3986 | 3.0 | 1503 | 1.3863 | 0.2695 |
| 1.3922 | 4.0 | 2004 | 1.3863 | 0.2655 |
| 1.3961 | 5.0 | 2505 | 1.3863 | 0.2156 |
| 1.3963 | 6.0 | 3006 | 1.3863 | 0.2535 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
