cdc_influenza_bart_large_cnn
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: 0.1632
- Rouge1: 0.536
- Rouge2: 0.408
- Rougel: 0.4456
- Rougelsum: 0.4456
- Gen Len: 83.0
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 1 | 0.2147 | 0.525 | 0.3844 | 0.4633 | 0.4633 | 77.5 |
No log | 2.0 | 2 | 0.1895 | 0.5407 | 0.4076 | 0.4735 | 0.4735 | 79.25 |
No log | 3.0 | 3 | 0.1725 | 0.5407 | 0.4037 | 0.4542 | 0.4542 | 80.25 |
No log | 4.0 | 4 | 0.1632 | 0.536 | 0.408 | 0.4456 | 0.4456 | 83.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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