CoT-multiDomain-Summ
This model is a fine-tuned version of google/pegasus-cnn_dailymail on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1456
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 438 | 1.2374 |
| 4.18 | 2.0 | 876 | 1.1642 |
| 1.1654 | 3.0 | 1314 | 1.1482 |
| 1.0725 | 4.0 | 1752 | 1.1456 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Benphil/CoT-multiDomain-Summ
Base model
google/pegasus-cnn_dailymail