flan-t5-base-samsum
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: 1.3387
- Rouge1: 47.2053
- Rouge2: 23.6242
- Rougel: 39.9217
- Rougelsum: 43.3101
- Gen Len: 16.6227
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.3346 | 1.0 | 14732 | 1.3387 | 47.2053 | 23.6242 | 39.9217 | 43.3101 | 16.6227 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for PamelaBorelli/flan-t5-base-samsum
Base model
google/flan-t5-base