metadata
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
model-index:
- name: pegasus-samsum
results: []
pegasus-samsum
This model is a fine-tuned version of google/pegasus-cnn_dailymail on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6034
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 |
|---|---|---|---|
| 2.1537 | 0.11 | 500 | 2.0863 |
| 1.9761 | 0.21 | 1000 | 1.8822 |
| 1.892 | 0.32 | 1500 | 1.7913 |
| 1.8575 | 0.42 | 2000 | 1.7172 |
| 1.7898 | 0.53 | 2500 | 1.6785 |
| 1.7663 | 0.63 | 3000 | 1.6508 |
| 1.6782 | 0.74 | 3500 | 1.6347 |
| 1.7025 | 0.85 | 4000 | 1.6098 |
| 1.6642 | 0.95 | 4500 | 1.6034 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0