bart-base-with-nothing
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6005
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: 12
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7986 | 1.0 | 4383 | 0.7095 |
| 0.6593 | 2.0 | 8766 | 0.6407 |
| 0.5589 | 3.0 | 13149 | 0.6121 |
| 0.4935 | 4.0 | 17532 | 0.5980 |
| 0.4314 | 5.0 | 21915 | 0.6005 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1
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Model tree for cbjun99/bart-base-with-nothing
Base model
facebook/bart-base