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pegasus-model3-3110
This model is a fine-tuned version of theojolliffe/pegasus-model-3-x25 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1269
- Rouge1: 72.1367
- Rouge2: 65.5268
- Rougel: 65.3716
- Rougelsum: 71.2474
- Gen Len: 123.3766
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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.3788 | 1.0 | 1453 | 0.1890 | 68.8116 | 60.1635 | 61.4549 | 67.7849 | 122.4805 |
| 0.2309 | 2.0 | 2906 | 0.1269 | 72.1367 | 65.5268 | 65.3716 | 71.2474 | 123.3766 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.1
