xlm-roberta-base-inspiration
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: 0.6599
- Accuracy: 0.8697
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6109 | 1.0 | 1237 | 0.3765 | 0.8406 |
| 0.3053 | 2.0 | 2474 | 0.3668 | 0.8503 |
| 0.2276 | 3.0 | 3711 | 0.5105 | 0.8673 |
| 0.2864 | 4.0 | 4948 | 0.5916 | 0.8608 |
| 0.0791 | 5.0 | 6185 | 0.6599 | 0.8697 |
Framework versions
- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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