metadata
tags:
- generated_from_trainer
metrics:
- rouge
base_model: google/pegasus-newsroom
model-index:
- name: pegasus-newsroom-headline_writer_oct22
results: []
pegasus-newsroom-headline_writer_oct22
This model is a fine-tuned version of google/pegasus-newsroom on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3462
- Rouge1: 41.8799
- Rouge2: 23.1785
- Rougel: 35.5346
- Rougelsum: 35.6203
- Gen Len: 34.3108
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: 2e-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
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4364 | 1.0 | 38400 | 1.3730 | 41.9525 | 23.0823 | 35.5435 | 35.6485 | 34.1161 |
| 1.2483 | 2.0 | 76800 | 1.3430 | 42.1538 | 23.3302 | 35.8119 | 35.9063 | 33.9333 |
| 1.1873 | 3.0 | 115200 | 1.3462 | 41.8799 | 23.1785 | 35.5346 | 35.6203 | 34.3108 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.2
- Tokenizers 0.12.1