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flan-t5-large-qa
This model is a fine-tuned version of google/flan-t5-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1278
- Rouge1: 78.0023
- Rouge2: 66.617
- Rougel: 77.19
- Rougelsum: 77.2401
- 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 | 306 | 0.1278 | 78.0023 | 66.617 | 77.19 | 77.2401 | 19.0 |
| 0.1993 | 2.0 | 612 | 0.1297 | 78.1082 | 66.8695 | 77.3786 | 77.3804 | 19.0 |
| 0.1993 | 3.0 | 918 | 0.1325 | 77.9622 | 66.9415 | 77.4017 | 77.4172 | 19.0 |
| 0.1013 | 4.0 | 1224 | 0.1322 | 78.0245 | 66.925 | 77.3878 | 77.4057 | 19.0 |
| 0.0694 | 5.0 | 1530 | 0.1396 | 78.0487 | 67.1825 | 77.4944 | 77.5247 | 19.0 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
