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flan-t5-base-samsum
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: 0.1340
- Rouge1: 32.8358
- Rouge2: 28.9195
- Rougel: 32.4711
- Rougelsum: 32.4823
- Gen Len: 19.0
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 13 | 0.5752 | 35.9584 | 19.1706 | 34.3491 | 34.4075 | 18.8431 |
| No log | 2.0 | 26 | 0.2308 | 32.0249 | 26.1243 | 31.3771 | 31.3998 | 19.0 |
| No log | 3.0 | 39 | 0.1647 | 32.6407 | 28.6029 | 32.2687 | 32.2816 | 19.0 |
| No log | 4.0 | 52 | 0.1403 | 32.9105 | 29.0005 | 32.5558 | 32.5515 | 19.0 |
| No log | 5.0 | 65 | 0.1340 | 32.8358 | 28.9195 | 32.4711 | 32.4823 | 19.0 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
