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reformer-clm
mwesner/reformer-clm
reformer-clm is a text generation model from mwesner. Use it when you need the model to write or continue text. It is set up for transformers.
This casual language model was trained from scratch on CNN/Dailymail dataset. It achieves the following results on the evaluation set: - Loss: 2.7783
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- reformer
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Sep 5, 2021
- SHA
- 0e32b472
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Model card
From the Hugging Face model README
reformer-clm
This casual language model was trained from scratch on CNN/Dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 2.7783
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
- Task
- Text Generation
- Library
- transformers
- Type
- reformer
- Created
- Mar 2, 2022
- Updated
- Sep 5, 2021