bart_updown_sp
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
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: 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 1429 | 0.0000 |
| 0.0 | 2.0 | 2858 | 0.0000 |
| 0.0 | 3.0 | 4287 | 0.0000 |
| 0.0 | 4.0 | 5716 | 0.0000 |
| 0.0 | 5.0 | 7145 | 0.0 |
| 0.0 | 6.0 | 8574 | 0.0 |
| 0.0 | 7.0 | 10003 | 0.0 |
| 0.0 | 8.0 | 11432 | 0.0 |
| 0.0 | 9.0 | 12861 | 0.0 |
| 0.0 | 10.0 | 14290 | 0.0 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
facebook/bart-base