bart-base-finetuned-xsum
This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1690
- Rouge1: 16.5953
- Rouge2: 12.3097
- Rougel: 15.9007
- Rougelsum: 16.4053
- Bleu-1: 0.0062
- Bleu-2: 0.0057
- Bleu-3: 0.0054
- Bleu-4: 0.0052
- 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: 2e-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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-1 | Bleu-2 | Bleu-3 | Bleu-4 | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.3294 | 1.0 | 28600 | 1.1690 | 16.5953 | 12.3097 | 15.9007 | 16.4053 | 0.0062 | 0.0057 | 0.0054 | 0.0052 | 20.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
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