bart-base
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: 0.2383
- Rouge1: 43.8254
- Rouge2: 20.1579
- Rougel: 36.9652
- Rougelsum: 39.6438
- Gen Len: 18.0
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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.2152 | 1.0 | 4632 | 0.2446 | 43.1632 | 19.3357 | 36.1382 | 38.8081 | 18.0 |
| 0.1758 | 2.0 | 9264 | 0.2383 | 43.8254 | 20.1579 | 36.9652 | 39.6438 | 18.0 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.15.2
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facebook/bart-base