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touring
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: 1.3199
- Rouge1: 42.1053
- Rouge2: 0.0
- Rougel: 42.1053
- Rougelsum: 42.1053
- Gen Len: 5.8947
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 | 49 | 1.5630 | 35.2632 | 0.0 | 35.2632 | 35.2632 | 5.7474 |
| No log | 2.0 | 98 | 1.3838 | 41.5789 | 0.0 | 41.5789 | 41.5789 | 5.9316 |
| No log | 3.0 | 147 | 1.3419 | 41.0526 | 0.0 | 41.0526 | 41.0526 | 5.8684 |
| No log | 4.0 | 196 | 1.3239 | 41.5789 | 0.0 | 41.5789 | 41.5789 | 5.8526 |
| No log | 5.0 | 245 | 1.3199 | 42.1053 | 0.0 | 42.1053 | 42.1053 | 5.8947 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Tokenizers 0.13.2
