bart-large-cnn-finetuned-pubmed-finetuned-roundup-e8
This model is a fine-tuned version of theojolliffe/bart-large-cnn-finetuned-pubmed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1034
- Rouge1: 48.4605
- Rouge2: 28.5961
- Rougel: 32.5389
- Rougelsum: 45.7358
- Gen Len: 142.0
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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 25 | 1.4278 | 47.952 | 29.4059 | 34.273 | 45.7244 | 142.0 |
| No log | 2.0 | 50 | 1.4351 | 48.7561 | 29.4049 | 30.631 | 46.4074 | 142.0 |
| No log | 3.0 | 75 | 1.5375 | 50.0069 | 31.4237 | 32.0834 | 47.679 | 142.0 |
| No log | 4.0 | 100 | 1.6647 | 49.6919 | 28.8821 | 31.9357 | 47.0396 | 142.0 |
| No log | 5.0 | 125 | 1.8070 | 47.8472 | 26.6979 | 30.7049 | 44.5848 | 142.0 |
| No log | 6.0 | 150 | 1.9981 | 47.8352 | 27.0966 | 31.4529 | 46.5251 | 142.0 |
| No log | 7.0 | 175 | 2.0904 | 48.6272 | 30.5493 | 32.7827 | 46.8462 | 142.0 |
| No log | 8.0 | 200 | 2.1034 | 48.4605 | 28.5961 | 32.5389 | 45.7358 | 142.0 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
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