bart-base-re-attention-full-length
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3079
- Rouge1: 20.1272
- Rouge2: 13.8723
- Rougel: 18.4828
- Rougelsum: 19.7038
- Gen Len: 25.7237
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9855 | 1.0 | 14207 | 1.3079 | 20.1272 | 13.8723 | 18.4828 | 19.7038 | 25.7237 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
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