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distilbart-podimo-data-5
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: 4.1325
Model description
| model | rouge1 | rouge2 | rougeL | rougeLsum |
|---|---|---|---|---|
| sshleifer/distilbart-cnn-12-6 | 0.202654 | 0.025766 | 0.123072 | 0.130183 |
| emmyapi/distilbart-podimo-data-3 | 0.235147 | 0.047087 | 0.151535 | 0.161782 |
| emmyapi/distilbart-podimo-data-4 | 0.236926 | 0.048327 | 0.153539 | 0.165026 |
| emmyapi/distilbart-podimo-data-5 | 0.259024 | 0.061665 | 0.167187 | 0.178399 |
| emmyapi/distilbart-podimo-data-7 | 0.298888 | 0.059900 | 0.159479 | 0.185049 |
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 16
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3477 | 3.33 | 500 | 3.7027 |
| 2.6286 | 6.66 | 1000 | 3.6995 |
| 2.0718 | 10.0 | 1500 | 3.8868 |
| 1.7806 | 13.33 | 2000 | 4.1325 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.11.0
- Datasets 2.2.1
- Tokenizers 0.12.1
