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20230429-001-baseline-mbart-no-qa-ft-clickbait-spoiling
This model is a fine-tuned version of facebook/mbart-large-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.0787
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 | 2.7084 |
| No log | 2.0 | 400 | 2.7053 |
| 2.3618 | 3.0 | 600 | 3.5040 |
| 2.3618 | 4.0 | 800 | 4.7206 |
| 0.4143 | 5.0 | 1000 | 6.2197 |
| 0.4143 | 6.0 | 1200 | 6.2887 |
| 0.4143 | 7.0 | 1400 | 7.3206 |
| 0.0651 | 8.0 | 1600 | 7.9945 |
| 0.0651 | 9.0 | 1800 | 7.7822 |
| 0.4984 | 10.0 | 2000 | 7.0787 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
