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bart-base-finetuned-xsum
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3082
- Rouge1: 13.998
- Rouge2: 8.2042
- Rougel: 13.2682
- Rougelsum: 13.6101
- Gen Len: 20.0
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: 0.002
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 50
- 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 | 180 | 1.5657 | 13.284 | 6.5156 | 12.5098 | 12.8132 | 20.0 |
No log | 2.0 | 360 | 1.0051 | 13.3398 | 6.426 | 12.4508 | 12.9061 | 20.0 |
1.9306 | 3.0 | 540 | 0.7440 | 12.8324 | 6.2848 | 11.9985 | 12.4138 | 20.0 |
1.9306 | 4.0 | 720 | 0.5412 | 13.2678 | 6.7085 | 12.4631 | 12.9015 | 20.0 |
1.9306 | 5.0 | 900 | 0.4288 | 13.4092 | 6.9196 | 12.4719 | 12.9804 | 20.0 |
0.625 | 6.0 | 1080 | 0.3653 | 13.8777 | 7.53 | 13.0145 | 13.4782 | 20.0 |
0.625 | 7.0 | 1260 | 0.3255 | 14.585 | 8.5087 | 13.8215 | 14.1797 | 20.0 |
0.625 | 8.0 | 1440 | 0.3082 | 13.998 | 8.2042 | 13.2682 | 13.6101 | 20.0 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2