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title_generation
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 41.5236
- Rouge2: 17.5894
- Rougel: 37.2852
- Rougelsum: 37.2749
- Gen Len: 13.3542
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-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 3748 | nan | 41.5236 | 17.5894 | 37.2852 | 37.2749 | 13.3542 |
| 0.0 | 2.0 | 7496 | nan | 41.5236 | 17.5894 | 37.2852 | 37.2749 | 13.3542 |
| 0.0 | 3.0 | 11244 | nan | 41.5236 | 17.5894 | 37.2852 | 37.2749 | 13.3542 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
