metadata
tags:
- generated_from_trainer
datasets:
- samsum
model-index:
- name: pegasus-samsum-2
results: []
pegasus-samsum-2
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: 1.3928
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: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- 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 |
|---|---|---|---|
| 1.8437 | 0.14 | 500 | 1.5538 |
| 1.6136 | 0.27 | 1000 | 1.4801 |
| 1.5287 | 0.41 | 1500 | 1.4405 |
| 1.6311 | 0.54 | 2000 | 1.4238 |
| 1.6707 | 0.68 | 2500 | 1.4052 |
| 1.7293 | 0.81 | 3000 | 1.3998 |
| 1.5427 | 0.95 | 3500 | 1.3928 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2