conversation-summ
This model is a fine-tuned version of facebook/bart-large-cnn on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4017
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.754 | 1.0 | 1095 | 1.7898 |
| 1.3195 | 2.0 | 2190 | 1.8284 |
| 0.989 | 3.0 | 3285 | 1.9271 |
| 0.642 | 4.0 | 4380 | 2.2351 |
| 0.4801 | 5.0 | 5475 | 2.5309 |
| 0.308 | 6.0 | 6570 | 2.7884 |
| 0.2 | 7.0 | 7665 | 3.1011 |
| 0.1416 | 8.0 | 8760 | 3.1495 |
| 0.0919 | 9.0 | 9855 | 3.3318 |
| 0.0674 | 10.0 | 10950 | 3.4017 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
facebook/bart-large-cnn