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test-summarization
This model was trained from scratch on an unkown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4740
- Rouge1: 28.3487
- Rouge2: 7.7836
- Rougel: 22.3307
- Rougelsum: 22.3357
- Gen Len: 18.8307
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: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.7042 | 1.0 | 14575 | 2.4740 | 28.3487 | 7.7836 | 22.3307 | 22.3357 | 18.8307 |
Framework versions
- Transformers 4.6.1
- Pytorch 1.7.0
- Datasets 1.11.0
- Tokenizers 0.10.3
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