xlm-roberta-base-bloom-prediction
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3077
- Accuracy: 0.4962
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.8378 | 1.0 | 53 | 1.8055 | 0.1053 |
| 1.3165 | 2.0 | 106 | 1.5058 | 0.4211 |
| 0.9832 | 3.0 | 159 | 1.3501 | 0.4511 |
| 0.7863 | 4.0 | 212 | 1.2886 | 0.4962 |
| 0.6957 | 5.0 | 265 | 1.3077 | 0.4962 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu129
- Datasets 4.2.0
- Tokenizers 0.22.1
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Model tree for hawalurahman/xlm-roberta-base-bloom-prediction
Base model
FacebookAI/xlm-roberta-base