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bart-large-finetuned-xsum
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: 2.4731
- Rouge1: 31.4112
- Rouge2: 15.2923
- Rougel: 26.0655
- Rougelsum: 26.1786
- Gen Len: 19.9401
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.117 | 1.0 | 1335 | 1.9689 | 30.664 | 14.8056 | 25.4549 | 25.6704 | 19.8353 |
| 1.6861 | 2.0 | 2670 | 1.9862 | 31.6733 | 16.3521 | 26.5274 | 26.7341 | 19.9222 |
| 1.4269 | 3.0 | 4005 | 2.0058 | 32.6582 | 16.9423 | 27.2586 | 27.5092 | 19.8293 |
| 1.2082 | 4.0 | 5340 | 2.0539 | 32.0699 | 15.9818 | 26.6064 | 26.7883 | 19.8323 |
| 0.9961 | 5.0 | 6675 | 2.1965 | 33.2255 | 16.9181 | 27.302 | 27.5051 | 19.9551 |
| 0.8185 | 6.0 | 8010 | 2.2948 | 30.8914 | 15.5552 | 26.1616 | 26.2908 | 19.8862 |
| 0.712 | 7.0 | 9345 | 2.3769 | 30.309 | 14.7338 | 25.0174 | 25.2947 | 19.9701 |
| 0.6204 | 8.0 | 10680 | 2.4731 | 31.4112 | 15.2923 | 26.0655 | 26.1786 | 19.9401 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
