metadata
base_model: google/pegasus-x-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasust5base
results: []
pegasust5base
This model is a fine-tuned version of google/pegasus-x-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.0441
- Rouge1: 46.3783
- Rouge2: 22.2914
- Rougel: 28.5553
- Rougelsum: 41.5329
- Gen Len: 293.2118
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: 4e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4875 | 1.0 | 515 | 2.0441 | 46.3783 | 22.2914 | 28.5553 | 41.5329 | 293.2118 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2