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This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5985
- Rouge1: 32.7607
- Rouge2: 19.5507
- Rougel: 32.7312
- Rougelsum: 32.7306
- Gen Len: 16.4212
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 |
|---|---|---|---|---|---|---|---|---|
| 3.043 | 1.0 | 1348 | 2.7636 | 34.4245 | 20.9962 | 34.386 | 34.3876 | 15.1150 |
| 2.8078 | 2.0 | 2696 | 2.6540 | 32.5342 | 19.3983 | 32.4966 | 32.4947 | 16.7662 |
| 2.7166 | 3.0 | 4044 | 2.6103 | 32.4564 | 19.3597 | 32.4255 | 32.4355 | 16.6037 |
| 2.6876 | 4.0 | 5392 | 2.5985 | 32.7607 | 19.5507 | 32.7312 | 32.7306 | 16.4212 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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