bart_test_p2
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|
| 0.018 | 0.18 | 500 | 0.0096 |
| 0.0189 | 0.35 | 1000 | 0.0097 |
| 0.0184 | 0.53 | 1500 | 0.0098 |
| 0.0167 | 0.7 | 2000 | 0.0094 |
| 0.0162 | 0.88 | 2500 | 0.0092 |
| 0.0162 | 1.05 | 3000 | 0.0086 |
| 0.0124 | 1.23 | 3500 | 0.0086 |
| 0.0127 | 1.4 | 4000 | 0.0084 |
| 0.0129 | 1.58 | 4500 | 0.0083 |
| 0.0123 | 1.75 | 5000 | 0.0080 |
| 0.0123 | 1.93 | 5500 | 0.0081 |
| 0.0104 | 2.1 | 6000 | 0.0079 |
| 0.0094 | 2.28 | 6500 | 0.0079 |
| 0.0103 | 2.45 | 7000 | 0.0077 |
| 0.01 | 2.63 | 7500 | 0.0077 |
| 0.0098 | 2.8 | 8000 | 0.0077 |
| 0.0095 | 2.98 | 8500 | 0.0076 |
Framework versions
- Transformers 4.37.0.dev0
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.17.0
- Tokenizers 0.15.0
