reformer-clm
This casual language model was trained from scratch on CNN/Dailymail dataset.
It achieves the following results on the evaluation set:
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: cosine_with_restarts
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 3.8321 | 1.0 | 18412 | 3.8074 |
| 3.4965 | 2.0 | 36824 | 3.4223 |
| 3.1927 | 3.0 | 55236 | 3.0815 |
| 3.046 | 4.0 | 73648 | 2.9270 |
| 2.9781 | 5.0 | 92060 | 2.8515 |
| 2.9398 | 6.0 | 110472 | 2.8082 |
| 2.9293 | 7.0 | 128884 | 2.7904 |
| 2.9212 | 8.0 | 147296 | 2.7817 |
| 2.9169 | 9.0 | 165708 | 2.7787 |
| 2.9197 | 10.0 | 184120 | 2.7783 |
Framework versions
- Transformers 4.6.1
- Pytorch 1.9.0
- Datasets 1.2.1
- Tokenizers 0.10.3
