summarize_by_bart
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7698
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: 2
- eval_batch_size: 2
- 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 |
|---|---|---|---|
| No log | 1.0 | 495 | 1.8562 |
| 2.2793 | 2.0 | 990 | 1.7942 |
| 2.1004 | 3.0 | 1485 | 1.7751 |
| 2.0356 | 4.0 | 1980 | 1.7703 |
| 2.0074 | 5.0 | 2475 | 1.7698 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for sharmadhruv/summarize_by_bart
Base model
facebook/bart-large