resume_label_summary_model
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9802
- Rouge1: 0.3129
- Rouge2: 0.191
- Rougel: 0.3133
- Rougelsum: 0.3126
- Gen Len: 15.4611
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 49 | 2.6885 | 0.209 | 0.0961 | 0.21 | 0.2094 | 18.4456 |
| No log | 2.0 | 98 | 1.9802 | 0.3129 | 0.191 | 0.3133 | 0.3126 | 15.4611 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.1
- Datasets 2.10.1
- Tokenizers 0.13.2