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MAL-10epoch-RobertaMul
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: 1.0960
- Accuracy: 0.2759
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 9 | 1.0976 | 0.1207 |
| No log | 2.0 | 18 | 1.1748 | 0.6379 |
| No log | 3.0 | 27 | 1.3041 | 0.6379 |
| No log | 4.0 | 36 | 1.2111 | 0.5690 |
| No log | 5.0 | 45 | 1.1047 | 0.3276 |
| No log | 6.0 | 54 | 1.1429 | 0.3276 |
| No log | 7.0 | 63 | 1.0923 | 0.3448 |
| No log | 8.0 | 72 | 1.0913 | 0.3276 |
| No log | 9.0 | 81 | 1.0882 | 0.3103 |
| No log | 10.0 | 90 | 1.0960 | 0.2759 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1
