metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-re-attention-full-length
results: []
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: 1.3356
- Rouge1: 20.3438
- Rouge2: 14.7577
- Rougel: 19.0604
- Rougelsum: 20.0908
- Gen Len: 25.5299
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 |
|---|---|---|---|---|---|---|---|---|
| 2.0151 | 1.0 | 14207 | 1.3356 | 20.3438 | 14.7577 | 19.0604 | 20.0908 | 25.5299 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1