Stacked_model_60
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: 0.8114
- F1: 0.7309
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 1.1179 | 1.0 | 946 | 0.8726 | 0.6862 |
| 0.794 | 2.0 | 1892 | 0.7980 | 0.7166 |
| 0.6979 | 3.0 | 2838 | 0.7882 | 0.7202 |
| 0.6325 | 4.0 | 3784 | 0.7913 | 0.7277 |
| 0.5896 | 5.0 | 4730 | 0.8114 | 0.7309 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Base model
FacebookAI/xlm-roberta-base