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20230328-002-baseline-xlmr-clickbait-spoiling
This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.7250
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 | 98 | 2.6011 |
| No log | 2.0 | 196 | 2.6066 |
| No log | 3.0 | 294 | 2.9585 |
| No log | 4.0 | 392 | 3.3991 |
| No log | 5.0 | 490 | 3.6123 |
| 1.7735 | 6.0 | 588 | 4.0201 |
| 1.7735 | 7.0 | 686 | 4.2080 |
| 1.7735 | 8.0 | 784 | 4.5100 |
| 1.7735 | 9.0 | 882 | 4.6275 |
| 1.7735 | 10.0 | 980 | 4.7250 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
