20230519-001-baseline-xlmrl-qa-squadv2-ft-clickbait-spoiling
This model is a fine-tuned version of deepset/xlm-roberta-large-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.2849
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 200 | 2.2379 |
| No log | 2.0 | 400 | 2.3140 |
| 1.8489 | 3.0 | 600 | 3.0345 |
| 1.8489 | 4.0 | 800 | 3.5503 |
| 0.5002 | 5.0 | 1000 | 3.9071 |
| 0.5002 | 6.0 | 1200 | 4.4492 |
| 0.5002 | 7.0 | 1400 | 5.3196 |
| 0.158 | 8.0 | 1600 | 5.7806 |
| 0.158 | 9.0 | 1800 | 6.0289 |
| 0.0542 | 10.0 | 2000 | 6.2849 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3