models
This model is a fine-tuned version of google/pegasus-pubmed on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.8844
- Rouge1: 36.8587
- Rouge2: 12.7373
- Rougel: 23.9623
- Rougelsum: 31.0333
- Gen Len: 106.2
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 100
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 2.8844 | 36.5048 | 15.2772 | 23.4469 | 31.6065 | 181.9 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
google/pegasus-pubmed