bart_CNN_NLP
This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9587
- Rouge1: 44.3648
- Rouge2: 27.4695
- Rougel: 40.784
- Rougelsum: 40.8715
- Gen Len: 6433791.8444
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
- label_smoothing_factor: 0.1
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
3.4531 | 0.4 | 40 | 3.1797 | 51.2851 | 31.4488 | 47.5636 | 47.6331 | 6433791.8778 |
2.92 | 0.8 | 80 | 2.9022 | 44.4735 | 27.5057 | 40.8813 | 40.9664 | 6433791.8444 |
2.7525 | 1.2 | 120 | 2.7883 | 50.1082 | 32.1501 | 46.2518 | 46.3502 | 6433791.8667 |
2.5508 | 1.6 | 160 | 2.7864 | 46.4768 | 29.626 | 42.7412 | 42.8483 | 6433791.8667 |
2.6446 | 2.0 | 200 | 2.7885 | 47.0824 | 29.892 | 43.3584 | 43.4973 | 6433791.8556 |
2.2677 | 2.4 | 240 | 2.8746 | 45.4243 | 28.5383 | 41.5278 | 41.6177 | 6433791.8778 |
2.3926 | 2.8 | 280 | 2.8450 | 45.2873 | 28.1695 | 41.6031 | 41.7244 | 6433791.9667 |
2.0455 | 3.2 | 320 | 2.9505 | 48.4876 | 30.0367 | 44.5252 | 44.662 | 6433791.8778 |
2.0197 | 3.6 | 360 | 2.9869 | 44.687 | 27.4827 | 41.0148 | 41.1126 | 6433791.8556 |
2.0922 | 4.0 | 400 | 2.9587 | 44.3648 | 27.4695 | 40.784 | 40.8715 | 6433791.8444 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for 7skln/bart_CNN_NLP
Base model
facebook/bart-large-cnn