Stacked_model_80
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: 0.7648
- F1: 0.7289
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 |
|---|---|---|---|---|
| 0.9241 | 1.0 | 1261 | 0.8433 | 0.6933 |
| 0.7538 | 2.0 | 2522 | 0.7812 | 0.7150 |
| 0.6806 | 3.0 | 3783 | 0.7630 | 0.7313 |
| 0.6303 | 4.0 | 5044 | 0.7543 | 0.7279 |
| 0.5842 | 5.0 | 6305 | 0.7648 | 0.7289 |
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