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PegasusX-arxiv-limited-resource-ver
This model is a fine-tuned version of google/pegasus-x-base on the arxiv-summarization dataset. It achieves the following results on the evaluation set:
- Loss: 2.0918
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: 0.002
- 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: 25
- training_steps: 150
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7902 | 0.02 | 50 | 2.2607 |
| 2.3544 | 0.03 | 100 | 2.1566 |
| 2.2495 | 0.05 | 150 | 2.0918 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
