pegasus-model3
This model is a fine-tuned version of theojolliffe/pegasus-cnn_dailymail-v4-e1-e4-feedback on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2808
- Rouge1: 70.5507
- Rouge2: 66.5776
- Rougel: 64.6438
- Rougelsum: 70.0264
- Gen Len: 123.7447
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: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.4839 | 1.0 | 748 | 0.2808 | 70.5507 | 66.5776 | 64.6438 | 70.0264 | 123.7447 |
Framework versions
- Transformers 4.21.3
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1
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