bart_recommendation_sports_equipment_english
This model is a fine-tuned version of google/pegasus-xsum on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9511
- Rouge1: 29.2063
- Rouge2: 9.5238
- Rougel: 28.8889
- Rougelsum: 29.3651
- Gen Len: 3.4762
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 0.96 | 12 | 5.1428 | 25.7937 | 4.7619 | 26.1905 | 26.1905 | 3.3810 |
| No log | 2.0 | 25 | 4.5991 | 28.4127 | 4.7619 | 28.4127 | 28.4127 | 4.2857 |
| No log | 2.96 | 37 | 4.3659 | 30.0000 | 4.7619 | 30.0 | 30.2381 | 3.9048 |
| No log | 4.0 | 50 | 4.2992 | 23.2540 | 4.7619 | 23.1746 | 23.3333 | 3.9524 |
| No log | 4.96 | 62 | 4.1730 | 23.2540 | 4.7619 | 23.1746 | 23.3333 | 3.5714 |
| No log | 6.0 | 75 | 4.0884 | 29.2063 | 14.2857 | 29.2063 | 29.2063 | 3.4762 |
| No log | 6.96 | 87 | 4.0252 | 25.0 | 4.7619 | 24.9206 | 25.2381 | 3.4762 |
| No log | 8.0 | 100 | 4.0019 | 31.5873 | 14.2857 | 31.1905 | 31.4286 | 3.5714 |
| No log | 8.96 | 112 | 3.9648 | 24.2857 | 4.7619 | 24.2857 | 24.7619 | 3.4762 |
| No log | 9.6 | 120 | 3.9511 | 29.2063 | 9.5238 | 28.8889 | 29.3651 | 3.4762 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
google/pegasus-xsum