tags: | |
- generated_from_trainer | |
datasets: | |
- samsum | |
model-index: | |
- name: pegasus-samsum | |
results: [] | |
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# pegasus-samsum | |
This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/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 | |