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bart-base-carvia_nlc2cmd_BART
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: 0.0000
- Rouge1: 88.8889
- Rouge2: 85.7143
- Rougel: 88.8889
- Rougelsum: 88.8889
- Gen Len: 20.0
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: 5e-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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.004 | 1.0 | 1625 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
| 0.0028 | 2.0 | 3250 | 0.0000 | 98.0519 | 97.4952 | 98.0519 | 98.0444 | 20.0 |
| 0.0014 | 3.0 | 4875 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
| 0.0 | 4.0 | 6500 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
| 0.0 | 5.0 | 8125 | 0.0000 | 88.8889 | 85.7143 | 88.8889 | 88.8889 | 20.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.3
- Tokenizers 0.13.3
