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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: 2.5401
- Rouge1: 0.2403
- Rouge2: 0.0714
- Rougel: 0.1924
- Rougelsum: 0.1922
- Gen Len: 18.1163
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 99 | 2.5104 | 0.189 | 0.053 | 0.154 | 0.1535 | 13.3023 |
| No log | 2.0 | 198 | 2.4941 | 0.2498 | 0.0781 | 0.1972 | 0.197 | 18.2326 |
| No log | 3.0 | 297 | 2.5144 | 0.2394 | 0.0652 | 0.1914 | 0.192 | 18.4419 |
| No log | 4.0 | 396 | 2.5401 | 0.2403 | 0.0714 | 0.1924 | 0.1922 | 18.1163 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
