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flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.9625
- Rouge1: 100.0
- Rouge2: 55.3114
- Rougel: 100.0
- Rougelsum: 100.0
- Gen Len: 3.0
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: 0.0003
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.1586 | 1.0 | 1842 | 0.9625 | 100.0 | 55.3114 | 100.0 | 100.0 | 3.0 |
| 0.7908 | 2.0 | 3684 | 0.9675 | 100.0 | 55.3114 | 100.0 | 100.0 | 3.0 |
| 0.561 | 3.0 | 5526 | 1.0608 | 100.0 | 55.3114 | 100.0 | 100.0 | 3.0 |
| 0.3867 | 4.0 | 7368 | 1.2206 | 100.0 | 55.3114 | 100.0 | 100.0 | 3.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
