metadata
base_model: google/pegasus-xsum
tags:
- generated_from_trainer
model-index:
- name: pegasus-legalease
results: []
pegasus-legalease
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: 1.2372
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: 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: 2
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 0.09 | 250 | 5.0401 |
5.3054 | 0.18 | 500 | 4.4391 |
5.3054 | 0.27 | 750 | 1.5152 |
2.5975 | 0.35 | 1000 | 1.2862 |
2.5975 | 0.44 | 1250 | 1.2813 |
1.4501 | 0.53 | 1500 | 1.2620 |
1.4501 | 0.62 | 1750 | 1.2487 |
1.4 | 0.71 | 2000 | 1.2405 |
1.4 | 0.8 | 2250 | 1.2385 |
1.4058 | 0.89 | 2500 | 1.2410 |
1.4058 | 0.98 | 2750 | 1.2372 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2