bart-base-finetuned-samsum-test
This model is a fine-tuned version of Facebook/bart-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.8137
- Rouge1: 44.2495
- Rouge2: 21.0063
- Rougel: 37.5103
- Rougelsum: 40.8031
- Gen Len: 17.2063
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: 0.0002
- 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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9795 | 1.0 | 7366 | 1.8137 | 44.2495 | 21.0063 | 37.5103 | 40.8031 | 17.2063 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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