metadata
library_name: peft
tags:
- generated_from_trainer
base_model: google/pegasus-x-base
model-index:
- name: pegasus-x-base-pegasus_article_summarization_base5
results: []
pegasus-x-base-pegasus_article_summarization_base5
This model is a fine-tuned version of google/pegasus-x-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9305
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 300 | 3.0662 |
| 3.5905 | 2.0 | 600 | 2.9914 |
| 3.5905 | 3.0 | 900 | 2.9552 |
| 3.2109 | 4.0 | 1200 | 2.9461 |
| 3.1687 | 5.0 | 1500 | 2.9375 |
| 3.1687 | 6.0 | 1800 | 2.9371 |
| 3.1575 | 7.0 | 2100 | 2.9334 |
| 3.1575 | 8.0 | 2400 | 2.9309 |
| 3.1489 | 9.0 | 2700 | 2.9309 |
| 3.1565 | 10.0 | 3000 | 2.9305 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.19.0
- Tokenizers 0.15.0