pegasus-cnn_dailymail_2
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.4308
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5344 | 0.6 | 500 | 1.4497 |
| 1.5068 | 1.2 | 1000 | 1.4386 |
| 1.4983 | 1.8 | 1500 | 1.4315 |
| 1.389 | 2.39 | 2000 | 1.4308 |
| 1.4246 | 2.99 | 2500 | 1.4277 |
| 1.3656 | 3.59 | 3000 | 1.4308 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1
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