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long-t5-tglobal-base-16384-book-summary-finetuned-xsum
This model is a fine-tuned version of pszemraj/long-t5-tglobal-base-16384-book-summary on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7110
- Rouge1: 19.379
- Rouge2: 2.0125
- Rougel: 12.4318
- Rougelsum: 12.4432
- Gen Len: 72.3611
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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 24 | 3.7825 | 18.6153 | 1.7298 | 12.0792 | 12.0714 | 82.3611 |
| No log | 2.0 | 48 | 3.7110 | 19.379 | 2.0125 | 12.4318 | 12.4432 | 72.3611 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.7.1
- Tokenizers 0.13.2
