pegasus-pubmed-20k_top_truncate
This model is a fine-tuned version of tuner007/pegasus_summarizer on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3367
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: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.5701 | 0.7477 | 500 | 1.3367 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for Chung-Fan/pegasus-pubmed-20k_top_truncate
Base model
tuner007/pegasus_summarizer