pegasus-xsum-finetuned-en-sum
This model is a fine-tuned version of october-sd/pegasus-xsum-finetuned-en-sum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5095
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
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 507 | 1.4958 |
| No log | 2.0 | 1014 | 1.5115 |
| No log | 3.0 | 1522 | 1.5094 |
| No log | 4.0 | 2028 | 1.5095 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2