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lang_adapter_pfeiffer_eng_BBC_xlm_roberta_base_10epochs
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5247
- Accuracy: 0.6816
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: 0.0001
- train_batch_size: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8099 | 1.42 | 500 | 1.6122 | 0.6764 |
| 1.6839 | 2.83 | 1000 | 1.5109 | 0.6841 |
| 1.6465 | 4.25 | 1500 | 1.5209 | 0.6853 |
| 1.6244 | 5.67 | 2000 | 1.5403 | 0.6812 |
| 1.6053 | 7.08 | 2500 | 1.4735 | 0.6885 |
| 1.5941 | 8.5 | 3000 | 1.5319 | 0.6859 |
| 1.5812 | 9.92 | 3500 | 1.5099 | 0.6829 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
