metadata
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: pegasus-samsum
results: []
pegasus-samsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.4678
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 0.2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6092 | 0.03 | 500 | 1.6488 |
| 1.9246 | 0.07 | 1000 | 1.5353 |
| 1.6674 | 0.1 | 1500 | 1.5057 |
| 1.9026 | 0.14 | 2000 | 1.4848 |
| 1.2869 | 0.17 | 2500 | 1.4678 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3