flan-t5-small-insight0
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1513
- Rouge1: 66.8836
- Rouge2: 52.2741
- Rougel: 63.2641
- Rougelsum: 64.6245
- Gen Len: 39.0
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 | 22 | 2.2280 | 44.9911 | 21.6141 | 38.2296 | 41.6228 | 19.0 |
| No log | 2.0 | 44 | 1.5397 | 55.3502 | 44.0702 | 52.6667 | 52.208 | 19.0 |
| No log | 3.0 | 66 | 1.2873 | 55.3502 | 44.0702 | 52.6667 | 52.208 | 19.0 |
| No log | 4.0 | 88 | 1.1765 | 55.1136 | 44.0702 | 52.4682 | 52.0206 | 19.0 |
| No log | 5.0 | 110 | 1.1513 | 55.1136 | 44.0702 | 52.4682 | 52.0206 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0