pegasus-summarization_longshort_text_150
This model is a fine-tuned version of google/pegasus-cnn_dailymail on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9256
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6829 | 10.01 | 500 | 0.7299 |
| 0.2991 | 20.03 | 1000 | 0.7413 |
| 0.1678 | 30.04 | 1500 | 0.8474 |
| 0.1387 | 40.05 | 2000 | 0.9256 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2
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Model tree for sujayC66/pegasus-summarization_longshort_text_150
Base model
google/pegasus-cnn_dailymail