metadata
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
model-index:
- name: seo-headline_2
results: []
seo-headline_2
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: 0.5682
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8031 | 1.29 | 500 | 0.7142 |
| 0.6117 | 2.58 | 1000 | 0.5948 |
| 0.5568 | 3.86 | 1500 | 0.5755 |
| 0.5219 | 5.15 | 2000 | 0.5682 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1