metadata
base_model: google/pegasus-cnn_dailymail
tags:
- generated_from_trainer
metrics:
- rouge
- precision
- recall
- f1
model-index:
- name: PEGASUS_CNNDM_ORIGIN
results: []
PEGASUS_CNNDM_ORIGIN
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7525
- Rouge1: 0.3585
- Rouge2: 0.1596
- Rougel: 0.2651
- Rougelsum: 0.2651
- Gen Len: 57.9427
- Precision: 0.8769
- Recall: 0.8915
- F1: 0.884
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: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.0026 | 1.0 | 625 | 1.7480 | 0.3556 | 0.1565 | 0.2627 | 0.2629 | 57.9482 | 0.8764 | 0.8909 | 0.8835 |
| 0.9045 | 2.0 | 1250 | 1.7525 | 0.3585 | 0.1596 | 0.2651 | 0.2651 | 57.9427 | 0.8769 | 0.8915 | 0.884 |
Framework versions
- Transformers 4.36.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.15.0