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grow_classification_xlmr2
This model is a fine-tuned version of xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5585
- Accuracy: 0.9309
- F1: 0.9297
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: 3e-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 | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.2832 | 1.0 | 436 | 0.4686 | 0.8870 | 0.8872 |
| 0.0717 | 2.0 | 872 | 0.5915 | 0.8964 | 0.8950 |
| 0.0374 | 3.0 | 1308 | 0.4898 | 0.9276 | 0.9266 |
| 0.0205 | 4.0 | 1744 | 0.5333 | 0.9271 | 0.9257 |
| 0.0101 | 5.0 | 2180 | 0.5585 | 0.9309 | 0.9297 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
