glot500_Inj_en_ewt
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: 0.1309
- Precision: 0.9535
- Recall: 0.9577
- F1: 0.9556
- Accuracy: 0.9609
Model description
More information needed
Intended uses & limitations
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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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
---|---|---|---|---|---|---|---|
0.6689 | 1.0 | 784 | 0.1508 | 0.9534 | 0.9514 | 0.9524 | 0.9540 |
0.1889 | 2.0 | 1568 | 0.1309 | 0.9535 | 0.9577 | 0.9556 | 0.9609 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for ibrahimbukhari1998/glot500_Inj_en_ewt
Base model
FacebookAI/xlm-roberta-base