metadata
base_model: google/pegasus-x-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: pegasus-x-base_readme_summarization
results: []
pegasus-x-base_readme_summarization
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: 2.1283
- Rouge1: 0.4524
- Rouge2: 0.3245
- Rougel: 0.4254
- Rougelsum: 0.4258
- Gen Len: 52.0983
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4802 | 1.0 | 5831 | 2.2968 | 0.4311 | 0.302 | 0.4037 | 0.4031 | 57.5564 |
| 2.245 | 2.0 | 11662 | 2.1924 | 0.455 | 0.3252 | 0.4263 | 0.4261 | 52.2794 |
| 2.0892 | 3.0 | 17493 | 2.1347 | 0.4578 | 0.3294 | 0.4306 | 0.4305 | 53.9041 |
| 1.9962 | 4.0 | 23324 | 2.1283 | 0.4524 | 0.3245 | 0.4254 | 0.4258 | 52.0983 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1