<!-- 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-large-cnn-samsum-ElectrifAi_v14
This model is a fine-tuned version of philschmid/bart-large-cnn-samsum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1649
- Rouge1: 52.2959
- Rouge2: 19.0107
- Rougel: 29.5199
- Rougelsum: 47.2462
- Gen Len: 115.75
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 9 | 2.3430 | 44.7631 | 15.9376 | 23.8711 | 40.091 | 142.0 |
| No log | 2.0 | 18 | 2.1774 | 47.2025 | 17.7636 | 27.235 | 40.251 | 102.5 |
| No log | 3.0 | 27 | 2.1649 | 52.2959 | 19.0107 | 29.5199 | 47.2462 | 115.75 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
