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distilbart-podimo-data-eval-2-2e
This model is a fine-tuned version of sshleifer/distilbart-cnn-12-6 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7374
- Rouge1: 32.9705
- Rouge2: 6.9494
- Rougel: 17.922
- Rougelsum: 29.4629
- Gen Len: 137.5363
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|
| 4.1649 | 0.98 | 44 | 3.8138 | 32.12 | 6.544 | 17.5999 | 28.8314 | 136.4553 |
| 3.6772 | 1.98 | 88 | 3.7374 | 32.9705 | 6.9494 | 17.922 | 29.4629 | 137.5363 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.12.1
