t5-base-finetuned-xsum
This model is a fine-tuned version of t5-base on the resumes_t2json dataset. It achieves the following results on the evaluation set:
- Loss: 0.5861
- Rouge1: 5.7966
- Rouge2: 3.5884
- Rougel: 5.7799
- Rougelsum: 5.7839
- Gen Len: 19.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.2507 | 1.0 | 877 | 0.5862 | 5.7975 | 3.5884 | 5.7804 | 5.7847 | 19.0 |
| 0.7138 | 2.0 | 1754 | 0.5861 | 5.7966 | 3.5884 | 5.7799 | 5.7839 | 19.0 |
| 0.7176 | 3.0 | 2631 | 0.5861 | 5.7966 | 3.5884 | 5.7799 | 5.7839 | 19.0 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2