metadata
base_model: google/pegasus-multi_news
tags:
- generated_from_trainer
model-index:
- name: pegasus-samsum
results: []
pegasus-samsum
This model is a fine-tuned version of google/pegasus-multi_news on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6418
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5784 | 0.16 | 500 | 0.9738 |
| 0.8156 | 0.32 | 1000 | 0.7155 |
| 0.7658 | 0.48 | 1500 | 0.6780 |
| 0.7112 | 0.64 | 2000 | 0.6582 |
| 0.6611 | 0.81 | 2500 | 0.6469 |
| 0.7505 | 0.97 | 3000 | 0.6418 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1