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20230527-baseline-009-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: 6.8572
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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 197 | 2.2523 |
| No log | 2.0 | 394 | 2.6083 |
| 1.7053 | 3.0 | 591 | 3.1023 |
| 1.7053 | 4.0 | 788 | 3.6280 |
| 1.7053 | 5.0 | 985 | 4.7670 |
| 0.3906 | 6.0 | 1182 | 5.1702 |
| 0.3906 | 7.0 | 1379 | 6.0245 |
| 0.119 | 8.0 | 1576 | 6.6972 |
| 0.119 | 9.0 | 1773 | 6.5388 |
| 0.119 | 10.0 | 1970 | 6.8572 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
