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bart-paraphrase-finetuned-xsum-v2
This model is a fine-tuned version of eugenesiow/bart-paraphrase on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2329
- Rouge1: 100.0
- Rouge2: 100.0
- Rougel: 100.0
- Rougelsum: 100.0
- Gen Len: 9.2619
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: 20
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 21 | 1.2954 | 66.7012 | 60.8612 | 66.5163 | 66.4352 | 13.2857 |
No log | 2.0 | 42 | 0.6866 | 86.8284 | 82.7835 | 86.7208 | 86.784 | 9.5238 |
No log | 3.0 | 63 | 0.4652 | 95.1892 | 93.5619 | 95.2567 | 95.1657 | 10.3095 |
No log | 4.0 | 84 | 0.4280 | 97.7463 | 97.1782 | 97.8708 | 97.718 | 9.5 |
No log | 5.0 | 105 | 0.3712 | 99.6435 | 99.5767 | 99.6435 | 99.6435 | 9.3571 |
No log | 6.0 | 126 | 0.4451 | 99.2695 | 98.9418 | 99.1883 | 99.3506 | 9.3095 |
No log | 7.0 | 147 | 0.3169 | 99.246 | 99.0232 | 99.246 | 99.4048 | 9.619 |
No log | 8.0 | 168 | 0.2942 | 100.0 | 100.0 | 100.0 | 100.0 | 9.4048 |
No log | 9.0 | 189 | 0.3105 | 100.0 | 100.0 | 100.0 | 100.0 | 9.1667 |
No log | 10.0 | 210 | 0.3035 | 100.0 | 100.0 | 100.0 | 100.0 | 9.2619 |
No log | 11.0 | 231 | 0.2983 | 100.0 | 100.0 | 100.0 | 100.0 | 10.5714 |
No log | 12.0 | 252 | 0.2497 | 100.0 | 100.0 | 100.0 | 100.0 | 9.4286 |
No log | 13.0 | 273 | 0.2911 | 100.0 | 100.0 | 100.0 | 100.0 | 9.1667 |
No log | 14.0 | 294 | 0.2619 | 100.0 | 100.0 | 100.0 | 100.0 | 9.2143 |
No log | 15.0 | 315 | 0.2510 | 100.0 | 100.0 | 100.0 | 100.0 | 9.2381 |
No log | 16.0 | 336 | 0.2647 | 100.0 | 100.0 | 100.0 | 100.0 | 9.9048 |
No log | 17.0 | 357 | 0.2438 | 100.0 | 100.0 | 100.0 | 100.0 | 9.2143 |
No log | 18.0 | 378 | 0.2324 | 100.0 | 100.0 | 100.0 | 100.0 | 9.3095 |
No log | 19.0 | 399 | 0.2296 | 100.0 | 100.0 | 100.0 | 100.0 | 9.3095 |
No log | 20.0 | 420 | 0.2329 | 100.0 | 100.0 | 100.0 | 100.0 | 9.2619 |
Framework versions
- Transformers 4.19.1
- Pytorch 1.11.0+cu113
- Datasets 2.2.1
- Tokenizers 0.12.1