<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bart-base-re-attention
This model is a fine-tuned version of GuysTrans/bart-base-re-attention on the None dataset. It achieves the following results on the evaluation set:
- Loss: 9.7017
- Rouge1: 9.5572
- Rouge2: 0.2974
- Rougel: 6.8156
- Rougelsum: 8.7252
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.1174 | 1.0 | 22880 | 9.7017 | 9.5572 | 0.2974 | 6.8156 | 8.7252 | 20.0 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
