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7CTOs-document-title-generator
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9983
- Rouge1: 64.6108
- Rouge2: 54.9793
- Rougel: 62.1078
- Rougelsum: 62.1233
- Gen Len: 13.916
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1616 | 1.0 | 625 | 1.0083 | 54.7061 | 43.4916 | 51.3187 | 51.3902 | 13.814 |
| 0.9933 | 2.0 | 1250 | 0.9913 | 63.5024 | 53.9145 | 60.941 | 60.9901 | 13.623 |
| 0.8891 | 3.0 | 1875 | 0.9960 | 64.8014 | 55.1159 | 62.1757 | 62.1882 | 13.839 |
| 0.7913 | 4.0 | 2500 | 0.9983 | 64.6108 | 54.9793 | 62.1078 | 62.1233 | 13.916 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
