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bart-large-cnn-finetuned-weaksup-1000-pad-early-new
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4896
- Rouge1: 29.4505
- Rouge2: 14.4038
- Rougel: 23.1757
- Rougelsum: 26.3813
- Gen Len: 66.55
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.154 | 1.0 | 1000 | 0.4255 | 27.2971 | 12.4331 | 20.851 | 23.9583 | 66.64 |
| 0.0806 | 2.0 | 2000 | 0.4896 | 29.4505 | 14.4038 | 23.1757 | 26.3813 | 66.55 |
Framework versions
- Transformers 4.16.2
- Pytorch 1.10.2
- Datasets 1.18.3
- Tokenizers 0.11.0
