metadata
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
model-index:
- name: pegasus-xsum
results: []
pegasus-xsum
This model is a fine-tuned version of google/pegasus-xsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1676
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: 0.0001
- 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.2677 | 0.4 | 1000 | 0.1598 |
| 0.0619 | 0.8 | 2000 | 0.1363 |
| 0.0478 | 1.2 | 3000 | 0.1305 |
| 0.0421 | 1.6 | 4000 | 0.1298 |
| 0.0403 | 2.0 | 5000 | 0.1256 |
| 0.0328 | 2.4 | 6000 | 0.1309 |
| 0.0314 | 2.8 | 7000 | 0.1296 |
| 0.0294 | 3.2 | 8000 | 0.1381 |
| 0.0259 | 3.6 | 9000 | 0.1383 |
| 0.0251 | 4.0 | 10000 | 0.1380 |
| 0.0213 | 4.4 | 11000 | 0.1450 |
| 0.0206 | 4.8 | 12000 | 0.1427 |
| 0.0201 | 5.2 | 13000 | 0.1520 |
| 0.0189 | 5.6 | 14000 | 0.1505 |
| 0.0164 | 6.0 | 15000 | 0.1515 |
| 0.0153 | 6.4 | 16000 | 0.1594 |
| 0.0153 | 6.8 | 17000 | 0.1570 |
| 0.0149 | 7.2 | 18000 | 0.1652 |
| 0.0136 | 7.6 | 19000 | 0.1662 |
| 0.013 | 8.0 | 20000 | 0.1676 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1