bart-finetuned-loaf-256-lyrictoplan
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6919
- Rouge1: 0.4711
- Rouge2: 0.2369
- Rougel: 0.3533
- Rougelsum: 0.3554
- Gen Len: 255.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
1.5494 | 0.89 | 500 | 0.9278 | 0.4886 | 0.2428 | 0.3683 | 0.3694 | 255.0 |
0.9078 | 1.78 | 1000 | 0.8602 | 0.5238 | 0.2865 | 0.3859 | 0.3845 | 255.0 |
0.7613 | 2.67 | 1500 | 0.7383 | 0.4688 | 0.2288 | 0.3621 | 0.3645 | 255.0 |
0.6693 | 3.56 | 2000 | 0.7123 | 0.5007 | 0.2624 | 0.3711 | 0.3727 | 255.0 |
0.6079 | 4.45 | 2500 | 0.6919 | 0.4711 | 0.2369 | 0.3533 | 0.3554 | 255.0 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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