Clickbait2
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0212
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: 5e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.05 | 50 | 0.0213 |
| No log | 0.09 | 100 | 0.0213 |
| No log | 0.14 | 150 | 0.0213 |
| No log | 0.18 | 200 | 0.0216 |
| No log | 0.23 | 250 | 0.0214 |
| No log | 0.27 | 300 | 0.0212 |
| No log | 0.32 | 350 | 0.0214 |
| No log | 0.36 | 400 | 0.0212 |
| No log | 0.41 | 450 | 0.0218 |
| 0.0219 | 0.46 | 500 | 0.0219 |
| 0.0219 | 0.5 | 550 | 0.0214 |
| 0.0219 | 0.55 | 600 | 0.0216 |
| 0.0219 | 0.59 | 650 | 0.0217 |
| 0.0219 | 0.64 | 700 | 0.0214 |
| 0.0219 | 0.68 | 750 | 0.0214 |
| 0.0219 | 0.73 | 800 | 0.0214 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0a0+17540c5
- Datasets 2.1.0
- Tokenizers 0.12.1
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