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: 1.1927
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 | 4.7237 |
5.061 | 0.18 | 500 | 4.3026 |
5.061 | 0.27 | 750 | 2.1449 |
2.8599 | 0.35 | 1000 | 1.3299 |
2.8599 | 0.44 | 1250 | 1.2940 |
1.4864 | 0.53 | 1500 | 1.2739 |
1.4864 | 0.62 | 1750 | 1.2594 |
1.3623 | 0.71 | 2000 | 1.2481 |
1.3623 | 0.8 | 2250 | 1.2395 |
1.3454 | 0.89 | 2500 | 1.2323 |
1.3454 | 0.98 | 2750 | 1.2245 |
1.3478 | 1.06 | 3000 | 1.2168 |
1.3478 | 1.15 | 3250 | 1.2128 |
1.2904 | 1.24 | 3500 | 1.2079 |
1.2904 | 1.33 | 3750 | 1.2048 |
1.279 | 1.42 | 4000 | 1.2027 |
1.279 | 1.51 | 4250 | 1.1998 |
1.2933 | 1.6 | 4500 | 1.1978 |
1.2933 | 1.68 | 4750 | 1.1958 |
1.2531 | 1.77 | 5000 | 1.1941 |
1.2531 | 1.86 | 5250 | 1.1933 |
1.2655 | 1.95 | 5500 | 1.1927 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2